Ke Shang

164 total papers · 1.8k total citations
90 papers, 1.1k citations indexed

About

Ke Shang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ke Shang has authored 90 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computational Theory and Mathematics, 55 papers in Artificial Intelligence and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ke Shang's work include Advanced Multi-Objective Optimization Algorithms (59 papers), Metaheuristic Optimization Algorithms Research (51 papers) and Evolutionary Algorithms and Applications (40 papers). Ke Shang is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (59 papers), Metaheuristic Optimization Algorithms Research (51 papers) and Evolutionary Algorithms and Applications (40 papers). Ke Shang collaborates with scholars based in China, Hong Kong and Japan. Ke Shang's co-authors include Hisao Ishibuchi, Lie Meng Pang, Linjun He, Jinwen Tian, Yansheng Li, Chao Tao, Yihua Tan, Liangjun Ke, Zuren Feng and Yueda Wang and has published in prestigious journals such as Blood, European Journal of Operational Research and IEEE Access.

In The Last Decade

Ke Shang

82 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Ke Shang	516	514	153	136	109	90	1.1k
Yuelin Gao	389 0.8×	421 0.8×	96 0.6×	92 0.7×	126 1.2×	108	999
Kai Zhang	316 0.6×	612 1.2×	297 1.9×	61 0.4×	70 0.6×	65	1.1k
Qing-Hua Ling	226 0.4×	676 1.3×	243 1.6×	140 1.0×	51 0.5×	48	1.1k
Seyed Jalaleddin Mousavirad	221 0.4×	594 1.2×	281 1.8×	68 0.5×	43 0.4×	100	1.0k
Jie Yang	568 1.1×	731 1.4×	344 2.2×	74 0.5×	27 0.2×	86	1.5k
Mohamed Batouche	156 0.3×	474 0.9×	367 2.4×	85 0.6×	78 0.7×	115	1.2k
Anand J. Kulkarni	347 0.7×	640 1.2×	158 1.0×	136 1.0×	164 1.5×	80	1.1k
Lam Thu Bui	424 0.8×	573 1.1×	118 0.8×	83 0.6×	103 0.9×	70	1.1k
Fei Han	272 0.5×	872 1.7×	304 2.0×	185 1.4×	52 0.5×	66	1.4k
Mohammad Ebrahim Shiri	373 0.7×	604 1.2×	156 1.0×	75 0.6×	53 0.5×	69	1.1k

Countries citing papers authored by Ke Shang

Since Specialization

Citations

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

Fields of papers citing papers by Ke Shang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Shang. A scholar is included among the top collaborators of Ke Shang 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 Ke Shang. Ke Shang 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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