Pure Component Property Estimation Framework Using Explainable Machine Learning Methods | Paper Citation Record

Observation b5728dda-b57e-4541-a878-bd62aed82122 · outbound

This paper cites Morris, Wetter is better for peat carbon, Nat.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Morris, Wetter is better for peat carbon, Nat

Reference 1

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 2

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 3

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 4

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Reference 5

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Observation bb6497f0-a50a-451b-8023-a4cd8bd6683b · outbound

This paper cites Vogt, B.M.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Vogt, B.M

Reference 6

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Reference 7

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Reference 8

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Observation 8f4654f9-284d-45d9-b4b1-264e8c44d93a · outbound

This paper cites Marrero, R.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Marrero, R

Reference 9

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Observation aed8b05e-a794-4300-926d-ea7c22f85acb · outbound

This paper cites Alshehri, A.K.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Alshehri, A.K

Reference 10

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Observation 311f3506-650c-4bd9-87cd-057d5213f34e · outbound

This paper cites Gani, Group contribution- based property estimation methods: advances and perspectives, Curr.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Gani, Group contribution- based property estimation methods: advances and perspectives, Curr

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:30:43.342333Z

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Observation 54dcc40b-df28-4eb4-a14c-8e503f7db529 · outbound

This paper cites Fredenslund, Vapor -liquid equilibria using UNIFAC: a group- contribution method, Elsevier, 2012.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Fredenslund, Vapor -liquid equilibria using UNIFAC: a group- contribution method, Elsevier, 2012

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:30:43.331482Z

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Observation 2e6aeca2-c4b6-4745-86a8-f25b7a5a3036 · outbound

This paper cites Abrams, J.M.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Abrams, J.M

Reference 13

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Observation 76ea9493-5f2f-4a76-a236-fa475d5b8906 · outbound

This paper cites Aouichaoui, F.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Aouichaoui, F

Reference 14

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Observation 1e55c03e-3ffb-4ca4-9158-e1c2650a1e11 · outbound

This paper cites Burger, V.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Burger, V

Reference 15

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 16

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 17

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Observation 1485afea-1505-40ce-8a9d-a72ed2eb319a · outbound

This paper cites Aouichaoui, F.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Aouichaoui, F

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:30:43.263000Z

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Observation 48512c70-8f3e-4473-8416-61be935d3c64 · outbound

This paper cites Gani, P.M.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Gani, P.M

Reference 19

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Observation 750fa2b6-d89c-4f90-bda5-928e8c375a55 · outbound

This paper cites Visco, R.S.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Visco, R.S

Reference 20

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This paper cites Rogers, M.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Rogers, M

Reference 21

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This paper cites Dobbelaere, Y.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Dobbelaere, Y

Reference 22

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 23

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 24

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This paper cites Goh, N.O.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Goh, N.O

Reference 25

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 26

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This paper cites Wieder, S.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Wieder, S

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:30:43.158261Z

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 28

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This paper cites Ishida, T.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Ishida, T

Reference 29

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 30

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Observation 04963968-5be3-4c88-924e-1f2a07efc941 · outbound

This paper cites Attention is not Explanation.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Attention is not Explanation

Reference 31

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This paper cites Attention is not not Explanation.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Attention is not not Explanation

Reference 32

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Observation 05018913-a11e-4b85-9b0d-1a5c4d2ab0f0 · outbound

This paper cites Rozemberczki, L.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Rozemberczki, L

Reference 33

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 34

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 35

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 36

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Observation b05b3551-cf21-405a-88b9-3fba03794fb9 · outbound

This paper cites Ranjan, A.K.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Ranjan, A.K

Reference 37

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Observation 7724d1ef-7caa-4f2e-9ce1-17c671ccce08 · outbound

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 38

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 39

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Observation c8ac0de9-17b6-400d-a118-866febed38a4 · outbound

This paper cites Landrum, Rdkit documentation, Release 1 (2013) 4.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Landrum, Rdkit documentation, Release 1 (2013) 4

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:30:43.034941Z

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Observation 17d37192-7708-4dc5-a6a7-626326ec52ca · outbound

This paper cites Greenacre, P.J.F.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Greenacre, P.J.F

Reference 41

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Observation 1f3ea66d-9951-409e-9ad9-5924efccf35b · outbound

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 42

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Observation a7a76794-b98b-41bd-a630-d0f820b73116 · outbound

This paper cites Rigatti, Random Forest, J.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Rigatti, Random Forest, J

Reference 43

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Observation 5d700e9d-6e27-457b-b779-0355caab6db3 · outbound

This paper cites Schonlau, R.Y.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Schonlau, R.Y

Reference 44

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Observation 6fee48d0-c14e-4878-b59f-1a43a4d1407c · outbound

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:30:42.975829Z

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Observation 0d8a53dc-3294-4514-bb70-69b17c606a68 · outbound

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 46

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Observation 6a1c1f32-60b4-4e3c-9e6d-3914633e8ff1 · outbound

This paper cites Gulli, S.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Gulli, S

Reference 47

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Observation 7d120f23-0ece-4ac9-a5d9-b54b09169a61 · outbound

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 48

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Observation 6fe8b241-c158-4238-9890-2546a6a3f950 · outbound

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 49

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Observation 189f9057-90d0-4ad0-9fb1-50f731949f1f · outbound

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Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:30:42.919784Z

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Observation b7b0b7b1-2277-4f28-846c-94a35c6f2a44 · outbound

This paper cites an unresolved cited work.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:30:42.906998Z

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Observation a5b278b3-570b-461f-8be8-6603f61c4ebf · outbound

This paper cites Kramer, O.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Kramer, O

Reference 52

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Observation 0474cfda-6da0-482f-8092-3101e1e24d44 · outbound

This paper cites Sundararajan, A.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Sundararajan, A

Reference 53

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Observation 89c25109-4a07-4dff-851b-09dfdb906d2b · outbound

This paper cites an unresolved cited work.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Unresolved cited work

Reference 54

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Observation c2b10c9c-243a-4156-afe4-b5fc7b7d7d67 · outbound

This paper cites Modla, Energy saving methods for the separation of a minimum boiling point azeotrope using an intermediate entrainer, Energy 50 (2013) 103–109.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Modla, Energy saving methods for the separation of a minimum boiling point azeotrope using an intermediate entrainer, Energy 50 (2013) 103–109

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:30:42.858820Z

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Observation 77bdde8f-2d6c-4f11-89ca-e2b5c6c136a2 · outbound

This paper cites Robinson, D.Y.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Robinson, D.Y

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:30:42.847089Z

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Observation 90966d56-6de8-4627-b5a2-38a151221ff6 · outbound

This paper cites Constantinou, R.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Constantinou, R

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:30:42.835855Z

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Observation 236aa179-f020-4181-9fe5-da50bf69f605 · outbound

This paper cites Chen, A tutorial on kernel density estimation and recent advances, Biostat.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Chen, A tutorial on kernel density estimation and recent advances, Biostat

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:30:42.824296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d9cf3bb0-d1d9-430e-8ff0-d57db08a9c09 · outbound

This paper cites Shannon, A mathematical theory of communication, Bell Syst.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Shannon, A mathematical theory of communication, Bell Syst

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:30:42.811566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation efe7bf07-b3b7-43b2-9c08-eedf3d7fe998 · outbound

This paper cites Prechelt, Automatic early stopping using cross validation: quantifying the criteria, Neural Networks 11 (1998) 761–767.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Prechelt, Automatic early stopping using cross validation: quantifying the criteria, Neural Networks 11 (1998) 761–767

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:30:42.799939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0dadb542-1881-4a12-84b9-69117c7af0f2 · outbound

This paper cites Next generation pure component property estimation models: With and without machine learning techniques,.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Next generation pure component property estimation models: With and without machine learning techniques,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:30:42.787438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13bb2827-5f0b-41d1-b1eb-451ce59e9408 · outbound

This paper cites Zhou, Machine learning, Springer nature, 2021.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Zhou, Machine learning, Springer nature, 2021

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:30:42.775695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5162c69e-9313-426b-b803-d617f1f342cb · outbound

This paper cites Edmister, Thermodynamic Properties of Hydrocarbons, Ind.

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods Edmister, Thermodynamic Properties of Hydrocarbons, Ind

Reference 63

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T21:30:42.764063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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