Zhanshan Li

94 total papers · 712 total citations
48 papers, 481 citations indexed

About

Zhanshan Li is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Zhanshan Li has authored 48 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 15 papers in Signal Processing and 14 papers in Computer Networks and Communications. Recurrent topics in Zhanshan Li's work include Data Management and Algorithms (14 papers), Constraint Satisfaction and Optimization (14 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Zhanshan Li is often cited by papers focused on Data Management and Algorithms (14 papers), Constraint Satisfaction and Optimization (14 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Zhanshan Li collaborates with scholars based in China, Iran and United Kingdom. Zhanshan Li's co-authors include Jingyao Li, Shuai Lü, Yongping Huang, Xue Wang, Yingying Jiao, Li He, Lili He, Dantong Ouyang, Chunyu Zhang and Hongtao Bai and has published in prestigious journals such as Expert Systems with Applications, Tetrahedron and IEEE Access.

In The Last Decade

Zhanshan Li

38 papers receiving 460 citations

Author Peers

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

Author						Papers	Cites
Zhanshan Li	207	140	102	50	46	48	481
He Li	113 0.5×	93 0.7×	55 0.5×	40 0.8×	75 1.6×	48	506
Azah Kamilah Muda	156 0.8×	91 0.7×	37 0.4×	45 0.9×	25 0.5×	70	481
Zhili Pei	186 0.9×	70 0.5×	66 0.6×	30 0.6×	23 0.5×	30	494
Bazil Pârv	253 1.2×	63 0.5×	25 0.2×	37 0.7×	16 0.3×	34	460
Aditya Prakash	95 0.5×	161 1.1×	20 0.2×	61 1.2×	42 0.9×	36	521
Rajeev Kumar	151 0.7×	58 0.4×	44 0.4×	71 1.4×	18 0.4×	39	410
Li Deng	270 1.3×	67 0.5×	27 0.3×	51 1.0×	175 3.8×	39	539
Ji Zhang	233 1.1×	107 0.8×	32 0.3×	48 1.0×	13 0.3×	30	424
Hai Zhang	93 0.4×	119 0.8×	29 0.3×	9 0.2×	12 0.3×	38	405
Mingyan Jiang	184 0.9×	65 0.5×	12 0.1×	72 1.4×	11 0.2×	66	484

Countries citing papers authored by Zhanshan Li

Since Specialization

Citations

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

Fields of papers citing papers by Zhanshan Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhanshan Li

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