Citation notice #9349 · 2026-08-09 18:17:53.263786+00:00

Forecasting Global Network Traffic Trends: The Role of Virtual Reality

cites Network Traffic Prediction via Deep Graph-Sequence Spatiotemporal Modeling Based on Mobile Virtual Reality Technology,, which carries a retraction notice . One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.

This is not a judgment on the citing paper.

Citing paper Event page Original DOI Notice DOI File a formal challenge All reference changes

01Evidence

Raw extraction · bibliography line · bibliography index 16

K. Zhang, X. Zhao, X. Li, X. Y . You, and Y. Zhu, “Network Traffic Prediction via Deep Graph-Sequence Spatiotemporal Modeling Based on Mobile Virtual Reality Technology,” Wirel. Commun. Mob. Comput., vol. 2021, 2021, doi: 10.1155/2021/2353875

02Event

Type

Retraction

Source

Retraction Watch

Original DOI

10.1155/2021/2353875

Notice DOI

10.1155/2023/9806091

Date

-

Title

Network Traffic Prediction via Deep Graph-Sequence Spatiotemporal Modeling Based on Mobile Virtual Reality Technology

Reasons

['Compromised Peer Review', 'Investigation by Journal/Publisher', 'Investigation by Third Party', 'Paper Mill', 'Unreliable Results and/or Conclusions']

Work

Network Traffic Prediction via Deep Graph-Sequence Spatiotemporal Modeling Based on Mobile Virtual Reality Technology, (2021) Wireless Communications and Mobile Computing

Schema constants (for re-runners): retraction · retraction_watch

03Dispute this notice

If this citation does not depend on the flagged claim, or the event is wrong, say so. Disputes are public. For a signed challenge against the paper itself, use the formal challenge form.