Weiping Wang

3.8k citations
167 papers · 2.9k · 1 hit paper · h-index 31

Impact in

Papers in

Weiping Wang

159 papers receiving 2.9k citations

Weiping Wang's Hit Papers

Electrochemical lithium recycling from spent batteries with electricity generation 2025 · 36 citations
360Years since publication102030

Peers

Weiping Wang
Comparison fields: 5 of 146
  • Computer Networks and Communications 1.0k
  • Statistical and Nonlinear Physics 485
  • Artificial Intelligence 797
  • Electrical and Electronic Engineering 1.4k
  • Polymers and Plastics 294
Replace Xiaona Song with:
Xiaona Song China
Cong Wang China
Yuan Wang China
Alessio Micheli Italy
Heung-No Lee South Korea
Ying Zhang China
Hamid Haj Seyyed Javadi Iran
Gang Xie China
Weiping Wang relative to Xiaona Song China Xiaona Song's profile →
Citations per field
00.5×3.3×
Xiaona Song · 1×
Citations per year

Countries citing papers authored by Weiping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weiping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018216
2 2015114
3 201492
4 202290
5 201883
6 202180
7 201775
8 201775
9 201875
10 202073
11 201972
12 202270
13 201964
14 202156
15 200253
16 201952
17 200848
18 201547
19 201746
20 201744

About Weiping Wang

Weiping Wang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Statistical and Nonlinear Physics and Polymers and Plastics, having authored 167 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (30 papers), Conducting polymers and applications (23 papers), Organic Electronics and Photovoltaics (23 papers), Advanced Memory and Neural Computing (20 papers), stochastic dynamics and bifurcation (19 papers), Perovskite Materials and Applications (16 papers), Network Security and Intrusion Detection (13 papers) and Nonlinear Dynamics and Pattern Formation (12 papers). The work is most often cited by research in Computer Networks and Communications (1.0k citations), Statistical and Nonlinear Physics (485 citations), Artificial Intelligence (797 citations), Electrical and Electronic Engineering (1.4k citations) and Polymers and Plastics (294 citations). Weiping Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiong Luo, Wenbing Zhao, Manman Yuan, Jürgen Kurths, Jenq‐Haur Wang, Haipeng Peng, Jinghua Xiao, Yixian Yang, Lixiang Li and Long Wang. Their work appears in journals such as IEEE Access, ACS Applied Materials & Interfaces, Neurocomputing, Applied Mathematics and Computation and Chaos Solitons & Fractals.

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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