Jie‐Sheng Wang

245 total papers · 3.8k total citations
178 papers, 2.8k citations indexed

About

Jie‐Sheng Wang is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jie‐Sheng Wang has authored 178 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Artificial Intelligence, 57 papers in Control and Systems Engineering and 32 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jie‐Sheng Wang's work include Metaheuristic Optimization Algorithms Research (49 papers), Advanced Algorithms and Applications (30 papers) and Fault Detection and Control Systems (19 papers). Jie‐Sheng Wang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (49 papers), Advanced Algorithms and Applications (30 papers) and Fault Detection and Control Systems (19 papers). Jie‐Sheng Wang collaborates with scholars based in China, United States and Canada. Jie‐Sheng Wang's co-authors include Yoke Khin Yap, Chee Huei Lee, Shuxia Li, Jianhua Zhang, Vijaya Kayastha, Shasha Guo, Wei Xie, Ming Xie, Linnan Zhu and Jianyu Huang and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Jie‐Sheng Wang

163 papers receiving 2.7k citations

Author Peers

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

Author Last Decade Papers Cites
Jie‐Sheng Wang 896 805 444 431 271 178 2.8k
Shiyuan Yang 692 0.8× 307 0.4× 233 0.5× 512 1.2× 227 0.8× 171 2.3k
Lihong Guo 508 0.6× 1.2k 1.4× 298 0.7× 376 0.9× 250 0.9× 83 2.7k
Wenhua Li 586 0.7× 525 0.7× 175 0.4× 590 1.4× 384 1.4× 151 3.0k
Weibing Li 624 0.7× 669 0.8× 1.2k 2.7× 505 1.2× 442 1.6× 182 3.7k
Nan Ye 666 0.7× 333 0.4× 201 0.5× 309 0.7× 181 0.7× 174 3.3k
Xing Liu 469 0.5× 484 0.6× 131 0.3× 579 1.3× 296 1.1× 161 2.2k
Xiangxiang Wang 686 0.8× 232 0.3× 325 0.7× 482 1.1× 214 0.8× 108 2.3k
Quan Quan 526 0.6× 375 0.5× 959 2.2× 781 1.8× 294 1.1× 242 4.3k
Cheng Wang 269 0.3× 499 0.6× 481 1.1× 176 0.4× 219 0.8× 220 3.2k
Wenlong Fu 473 0.5× 764 0.9× 986 2.2× 1.6k 3.6× 133 0.5× 170 3.8k

Countries citing papers authored by Jie‐Sheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jie‐Sheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie‐Sheng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jie‐Sheng Wang. A scholar is included among the top collaborators of Jie‐Sheng 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 Jie‐Sheng Wang. Jie‐Sheng 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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