Jie‐Sheng Wang

3.8k total citations
180 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 180 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Artificial Intelligence, 58 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 (51 papers), Advanced Algorithms and Applications (31 papers) and Fault Detection and Control Systems (19 papers). Jie‐Sheng Wang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (51 papers), Advanced Algorithms and Applications (31 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

165 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jie‐Sheng Wang China 27 900 811 444 437 270 180 2.8k
Lihong Guo China 27 514 0.6× 1.2k 1.4× 294 0.7× 376 0.9× 257 1.0× 83 2.7k
H. P. Lee Singapore 17 575 0.6× 524 0.6× 308 0.7× 337 0.8× 183 0.7× 29 2.3k
Shiyuan Yang China 24 702 0.8× 309 0.4× 236 0.5× 515 1.2× 228 0.8× 173 2.4k
Tianjun Liao China 27 583 0.6× 676 0.8× 154 0.3× 663 1.5× 84 0.3× 102 2.4k
Zhe Wu United States 33 393 0.4× 433 0.5× 1.8k 4.0× 373 0.9× 344 1.3× 166 3.3k
Zhenyu Lu China 24 234 0.3× 549 0.7× 183 0.4× 272 0.6× 148 0.5× 120 1.7k
Zhou Wu China 29 242 0.3× 523 0.6× 716 1.6× 1.2k 2.8× 116 0.4× 137 2.9k
Chengdong Li China 30 243 0.3× 819 1.0× 710 1.6× 1.0k 2.4× 102 0.4× 172 3.2k
Siheng Chen China 35 339 0.4× 1.5k 1.9× 361 0.8× 420 1.0× 344 1.3× 138 4.5k
Muhammad Hisyam Lee Malaysia 28 161 0.2× 557 0.7× 421 0.9× 806 1.8× 554 2.1× 153 3.5k

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

20 of 20 papers shown
1.
Wang, Yucai, et al.. (2025). Multi-strategy fusion binary SHO guided by Pearson correlation coefficient for feature selection with cancer gene expression data. Egyptian Informatics Journal. 29. 100639–100639. 2 indexed citations
2.
Wang, Xiaotian, et al.. (2025). BiLSTM-AKEF hybrid driven lithium-ion battery SOC prediction model based on CEEMD with different distributions noises. Journal of Energy Storage. 111. 115437–115437. 5 indexed citations
8.
Wang, Xiaotian, et al.. (2024). Ensemble learning prediction model for lithium-ion battery remaining useful life based on embedded feature selection. Applied Soft Computing. 169. 112638–112638. 2 indexed citations
9.
Wang, Jie‐Sheng, et al.. (2024). Feature selection method for banknote dirtiness recognition based on mathematical functions driven slime mould algorithm. Expert Systems with Applications. 252. 124262–124262. 3 indexed citations
11.
Wang, Jie‐Sheng, et al.. (2024). Multi-objective arithmetic optimization algorithm with random searching strategies to solve combined economic emission dispatch problem. Computers & Industrial Engineering. 195. 110434–110434. 6 indexed citations
13.
Li, Hongchun, et al.. (2022). Berbamine Suppresses the Growth of Gastric Cancer Cells by Inactivating the BRD4/c-MYC Signaling Pathway. SHILAP Revista de lepidopterología. 9 indexed citations
14.
Zhang, Shengli, Yingying Yao, Jie‐Sheng Wang, & Yunyun Liang. (2022). Identification of DNA N4-methylcytosine sites based on multi-source features and gradient boosting decision tree. Analytical Biochemistry. 652. 114746–114746. 3 indexed citations
16.
Xie, Wei, Jie‐Sheng Wang, Cheng Xing, et al.. (2020). Variational Autoencoder Bidirectional Long and Short-Term Memory Neural Network Soft-Sensor Model Based on Batch Training Strategy. IEEE Transactions on Industrial Informatics. 17(8). 5325–5334. 58 indexed citations
17.
Wang, Jie‐Sheng, et al.. (2013). ECHO STATE NETWORK FUSION SOFT SENSING MODEL OF FLOTATION PROCESS BASED ON GLOWWORM SWARM OPTIMIZATION ALGORITHM. ICIC express letters. Part B, Applications. 4(3). 519–524. 2 indexed citations
18.
Wang, Jie‐Sheng, et al.. (2010). Intelligent control method of rotary kiln process based on image processing technology: A survey. Chinese Control Conference. 2930–2935. 2 indexed citations
19.
Wang, Jie‐Sheng, Ming Xie, & Yoke Khin Yap. (2007). Optimum growth of vertically-aligned boron nitride nanotubes at low temperatures. Bulletin of the American Physical Society. 4 indexed citations
20.
Zhang, Yong, Jie‐Sheng Wang, & Xuebo Chen. (2002). Application on intelligent analysis for ECG signals by adopting wavelet transform. 2085–2089 vol.3. 2 indexed citations

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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