Tengda Wei

636 citations
39 papers · 504 · h-index 13

Impact in

Papers in

Tengda Wei

36 papers receiving 499 citations

Peers

Tengda Wei
Comparison fields: 5 of 82
  • Computer Networks and Communications 270
  • Statistical and Nonlinear Physics 145
  • Modeling and Simulation 35
  • Control and Systems Engineering 123
  • Artificial Intelligence 106
Replace Jiqiang Feng with:
Jiqiang Feng China
Ovidiu Bagdasar United Kingdom
C. Maharajan India
Zengyun Wang China
Bo Meng China
Xiao‐Wen Zhao China
Pratap Anbalagan India
Xin Long China
Jiong Ruan China
Taotao Hu China
Tengda Wei relative to Jiqiang Feng China Jiqiang Feng's profile →
Citations per field
00.5×
Jiqiang Feng · 1×
Citations per year

Countries citing papers authored by Tengda Wei

Since Specialization
Citations

This map shows the geographic impact of Tengda Wei'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 Tengda Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tengda Wei more than expected).

Fields of papers citing papers by Tengda Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tengda Wei. 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 Tengda Wei. The network helps show where Tengda Wei may publish in the future.

Co-authors

The 25 scholars most cited alongside Tengda Wei, 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 Tengda Wei Line = papers co-authored together Tengda Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021126
2 201968
3 202139
4 201829
5 201722
6 202221
7 202217
8 202316
9 202115
10 201615
11 201614
12 201512
13 202112
14 20249
15 20189
16 20228
17 20237
18 20217
19 20176
20 20216

About Tengda Wei

Tengda Wei is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health, Control and Systems Engineering and Artificial Intelligence, having authored 39 papers that have together received 504 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Neural Networks and Applications (7 papers), stochastic dynamics and bifurcation (7 papers), Mathematical Biology Tumor Growth (5 papers), Evolution and Genetic Dynamics (5 papers), Nonlinear Dynamics and Pattern Formation (5 papers) and Stability and Control of Uncertain Systems (5 papers). The work is most often cited by research in Computer Networks and Communications (270 citations), Statistical and Nonlinear Physics (145 citations), Modeling and Simulation (35 citations), Control and Systems Engineering (123 citations) and Artificial Intelligence (106 citations). Tengda Wei has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Xiaodi Li, Linshan Wang, Vladimir Stojanović, Yangfan Wang, Ping Lin, Sheng Wang, Quanxin Zhu, Jinde Cao, Xiaoli Yang and Yu Wang. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, IEEE Transactions on Neural Networks and Learning Systems, Mathematical Biosciences & Engineering, IEEE/CAA Journal of Automatica Sinica and Sustainability.

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.

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