Jian Wang

1.0k total papers · 12.3k total citations
563 papers, 7.8k citations indexed

About

Jian Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Jian Wang has authored 563 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 197 papers in Artificial Intelligence, 131 papers in Computer Vision and Pattern Recognition and 59 papers in Control and Systems Engineering. Recurrent topics in Jian Wang's work include Neural Networks and Applications (66 papers), Machine Learning and ELM (44 papers) and Reservoir Engineering and Simulation Methods (37 papers). Jian Wang is often cited by papers focused on Neural Networks and Applications (66 papers), Machine Learning and ELM (44 papers) and Reservoir Engineering and Simulation Methods (37 papers). Jian Wang collaborates with scholars based in China, United States and India. Jian Wang's co-authors include Kai Zhang, Jacek M. Żurada, Jun Yao, Nikhil R. Pal, Yudong Zhang, Shuihua Wang‎, Chuanjin Yao, Isiah M. Warner, Siyuan Lu and Huaqing Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of Applied Physics.

In The Last Decade

Jian Wang

488 papers receiving 7.6k citations

Hit Papers

A review on extreme learn... 2021 2026 2022 2024 2021 2023 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jian Wang 2.5k 1.6k 909 881 880 563 7.8k
Ashish Ghosh 1.9k 0.7× 1.4k 0.9× 273 0.3× 615 0.7× 837 1.0× 394 8.4k
Ryszard Tadeusiewicz 2.8k 1.1× 1.3k 0.8× 262 0.3× 788 0.9× 1.1k 1.2× 244 8.1k
Lijuan Wang 2.0k 0.8× 3.0k 1.9× 358 0.4× 1.3k 1.4× 2.3k 2.6× 430 11.2k
Zhenyu Yang 2.5k 1.0× 612 0.4× 893 1.0× 707 0.8× 967 1.1× 351 6.8k
Mohammad Bagher Menhaj 2.5k 1.0× 985 0.6× 347 0.4× 982 1.1× 1.9k 2.1× 348 9.5k
Lizhe Wang 3.1k 1.2× 3.3k 2.0× 877 1.0× 531 0.6× 1.5k 1.7× 564 18.9k
Qing He 5.0k 2.0× 1.9k 1.1× 249 0.3× 588 0.7× 796 0.9× 295 10.4k
Li Zhang 2.4k 1.0× 2.4k 1.4× 211 0.2× 788 0.9× 551 0.6× 387 7.0k
Zhang Yon 3.8k 1.5× 1.6k 0.9× 258 0.3× 436 0.5× 806 0.9× 349 7.4k
C.J. Harris 2.9k 1.2× 1.3k 0.8× 249 0.3× 818 0.9× 1.1k 1.2× 362 8.1k

Countries citing papers authored by Jian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Wang. A scholar is included among the top collaborators of Jian 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 Jian Wang. Jian Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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