Wei Shi

5.2k citations
256 papers · 3.3k indexed · 1 hit paper · h-index 25

Impact in

Papers in

Wei Shi

224 papers receiving 3.1k citations

Hit Papers

Federated learning of predictive models from federated Electronic Health Records 2018 · 586 citations
5862018202620202023100200300400500

Peers

Wei Shi
Comparison fields: 5 of 163
  • Health Informatics 67
  • Computer Networks and Communications 1.1k
  • Artificial Intelligence 1.2k
  • Signal Processing 320
  • Information Systems 519
Replace Jafar A. Alzubi with:
Jafar A. Alzubi Jordan
Xiao Wang China
Carsten Maple United Kingdom
Shengding Hu China
Yue Zhang China
Şeref Sağıroğlu Türkiye
Haider Abbas Pakistan
Awais Ahmad South Korea
Janmenjoy Nayak India
Zhengyan Zhang China
Wei Shi relative to Jafar A. Alzubi Jordan Jafar A. Alzubi's profile →
Citations per field
00.5×11.7×
Jafar A. Alzubi · 1×
Citations per year

Countries citing papers authored by Wei Shi

Since Specialization
Citations

This map shows the geographic impact of Wei Shi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wei Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Shi more than expected).

Fields of papers citing papers by Wei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Shi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wei Shi. The network helps show where Wei Shi may publish in the future.

Co-authors

The 25 scholars most cited alongside Wei Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei Shi Line = papers co-authored together Wei Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20239
4 20230
5 20230
6 202321
7 202327
8 202326
9 20225
10 20207
11 202014
12 202097
13 20194
14
An ADMM Approach to the Problem of Distributed Nash Equilibrium Seeking
20172
15 20166
16 20113
17
Validation Against Actual Behavior: Still a Challenge for Testing Tools.
20101
18
The Analysis and Implement of Integration Between Andvanced Planning and Scheduling and ERP
20030
19
Analysis of Single-Passband Dispersion Curves in Periodical Accelerating Structures
20020
20
CORBA Based CIMS Application Integration
19992

About Wei Shi

Wei Shi is a scholar working on Computer Networks and Communications, Software, Information Systems, Artificial Intelligence and Signal Processing, having authored 256 papers that have together received 3.3k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (18 papers), Service-Oriented Architecture and Web Services (12 papers), Caching and Content Delivery (12 papers), IoT and Edge/Fog Computing (12 papers), Privacy-Preserving Technologies in Data (12 papers), Cloud Computing and Resource Management (12 papers), Anomaly Detection Techniques and Applications (12 papers) and Advanced MIMO Systems Optimization (11 papers). The work is most often cited by research in Health Informatics (67 citations), Computer Networks and Communications (1.1k citations), Artificial Intelligence (1.2k citations), Signal Processing (320 citations) and Information Systems (519 citations). Wei Shi has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ruidi Chen, Ioannis Ch. Paschalidis, Alex Olshevsky, Theodora S. Brisimi, Theofanie Mela, Zhihong Tian, Hao Zhu, Hao Jan Liu, Shen Su and Shengfan Zhou. Their work appears in journals such as Sensors, Journal of Parallel and Distributed Computing, IEEE Access, IEEE Transactions on Vehicular Technology and Electronics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026