Jin Wang

29.1k total citations · 10 hit papers
1.0k papers, 20.4k citations indexed

About

Jin Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Jin Wang has authored 1.0k papers receiving a total of 20.4k indexed citations (citations by other indexed papers that have themselves been cited), including 292 papers in Artificial Intelligence, 261 papers in Computer Networks and Communications and 183 papers in Electrical and Electronic Engineering. Recurrent topics in Jin Wang's work include Topic Modeling (83 papers), Energy Efficient Wireless Sensor Networks (76 papers) and IoT and Edge/Fog Computing (55 papers). Jin Wang is often cited by papers focused on Topic Modeling (83 papers), Energy Efficient Wireless Sensor Networks (76 papers) and IoT and Edge/Fog Computing (55 papers). Jin Wang collaborates with scholars based in China, United States and South Korea. Jin Wang's co-authors include Arun Kumar Sangaiah, Jianming Zhang, Xuejie Zhang, Yu Gao, Hye-Jin Kim, R. Simon Sherratt, Yongjun Ren, K. Robert Lai, Wei Liu and Pradip Kumar Sharma and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Jin Wang

911 papers receiving 19.4k citations

Hit Papers

Belief rule-base inference methodology using the evidenti... 2006 2026 2012 2019 2006 2016 2020 2015 2015 100 200 300 400 500

Peers

Jin Wang
Comparison fields: 5 of 218
  • Artificial Intelligence 5.8k
  • Computer Networks and Communications 5.8k
  • Electrical and Electronic Engineering 3.9k
  • Computer Vision and Pattern Recognition 3.5k
  • Information Systems 3.3k
Replace Naixue Xiong with:
Naixue Xiong China
Houbing Song United States
Zhihan Lv China
Arun Kumar Sangaiah India
Laurence T. Yang Canada
Yong Li China
Ajith Abraham United States
Jaime Lloret Spain
Jiannong Cao Hong Kong
Laith Abualigah Jordan
Naixue Xiong China View profile →
Citations per field, relative to Jin Wang
Jin Wang · 1×
Citations per year, relative to Jin Wang
Jin Wang · 1×

Countries citing papers authored by Jin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Wang. A scholar is included among the top collaborators of Jin Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Wang. Jin Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 2
3 2
4 3
5 7
6 10
7 7
8 53
9 4
10 12
11 40
12 13
13 2
14 4
15
Dimensional Sentiment Analysis Using a Regional CNN-LSTM Model breakdown →
375
16 4
17 33
18 2
19 12
20 19

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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