Sha Wang

833 citations
21 papers · 588 · h-index 11

Impact in

Papers in

Sha Wang

18 papers receiving 575 citations

Peers

Sha Wang
Comparison fields: 5 of 68
  • Statistical and Nonlinear Physics 297
  • Management Science and Operations Research 195
  • Computer Networks and Communications 185
  • Artificial Intelligence 189
  • Modeling and Simulation 18
Replace Zhaogang Ding with:
Zhaogang Ding China
Hung T. Nguyen United States
Djamel A. Zighed France
Ahmad Zareie United Kingdom
Alex Fabrikant United States
Hakim Hacid United Arab Emirates
Daniel R. Figueiredo Brazil
Dong Cheng China
Francesco Folino Italy
Sha Wang relative to Zhaogang Ding China Zhaogang Ding's profile →
Citations per field
00.5×4.5×
Zhaogang Ding · 1×
Citations per year

Countries citing papers authored by Sha Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sha Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Sha Wang, 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 Sha Wang Line = papers co-authored together Sha Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021121
2 202389
3 202278
4 201066
5 201364
6 202335
7 201131
8 202321
9 202217
10
Function projective lag synchronization of fractional-order chaotic systems
201416
11 201214
12 202310
13 20248
14 20107
15 20254
16 20193
17 20163
18 20191
19 20240
20 20250

About Sha Wang

Sha Wang is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Management Science and Operations Research, Artificial Intelligence and Computer Science Applications, having authored 21 papers that have together received 588 indexed citations. Recurring topics across this work include Chaos control and synchronization (7 papers), Multi-Criteria Decision Making (5 papers), Complex Network Analysis Techniques (5 papers), Cognitive Science and Mapping (5 papers), Opinion Dynamics and Social Influence (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Neural Networks Stability and Synchronization (4 papers) and Quantum chaos and dynamical systems (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (297 citations), Management Science and Operations Research (195 citations), Computer Networks and Communications (185 citations), Artificial Intelligence (189 citations) and Modeling and Simulation (18 citations). Sha Wang has collaborated with scholars based in China, United Kingdom and Spain. Frequent co-authors include Jian Wu, Francisco Chiclana, Enrique Herrera‐Viedma, Yongguang Yu, Feixia Ji, Hamido Fujita, Qi Sun, Jing Bai, Yumei Xing and Hu Wang. Their work appears in journals such as Information Fusion, Expert Systems with Applications, IEEE Transactions on Fuzzy Systems, Engineering Applications of Artificial Intelligence and Information Sciences.

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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