Ling He

51 total papers · 583 total citations
23 papers, 381 citations indexed

About

Ling He is a scholar working on Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Ling He has authored 23 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Artificial Intelligence. Recurrent topics in Ling He's work include Neuroscience and Neuropharmacology Research (6 papers), Neural dynamics and brain function (4 papers) and Neuroscience and Neural Engineering (3 papers). Ling He is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neural dynamics and brain function (4 papers) and Neuroscience and Neural Engineering (3 papers). Ling He collaborates with scholars based in China, Hong Kong and United States. Ling He's co-authors include Wentao Mao, Jinwan Wang, Xuncui Wang, Guoqi Zhu, Junyao Li, Xiaoqi Hong, Peter W. Tse, Qianqian Gao, Haldun Aytuğ and Gary J. Kœhler and has published in prestigious journals such as Journal of Neuroscience, International Journal of Molecular Sciences and British Journal of Pharmacology.

In The Last Decade

Ling He

20 papers receiving 374 citations

Author Peers

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

Author						Papers	Cites
Ling He	161	93	93	65	57	23	381
Zhengda Wang	196 1.2×	39 0.4×	91 1.0×	51 0.8×	31 0.5×	15	366
Han Chen	170 1.1×	35 0.4×	127 1.4×	7 0.1×	24 0.4×	50	372
Jing Wang	59 0.4×	90 1.0×	34 0.4×	13 0.2×	96 1.7×	23	339
Han Li	30 0.2×	123 1.3×	27 0.3×	33 0.5×	59 1.0×	30	440
Yiqing Hu	60 0.4×	22 0.2×	25 0.3×	24 0.4×	22 0.4×	36	443
Xin Xiong	99 0.6×	29 0.3×	80 0.9×	23 0.4×	36 0.6×	56	372
Songhua Ma	23 0.1×	28 0.3×	73 0.8×	54 0.8×	33 0.6×	33	394
Huang Wen-ying	133 0.8×	5 0.1×	84 0.9×	84 1.3×	45 0.8×	36	341
Jin	27 0.2×	55 0.6×	14 0.2×	59 0.9×	46 0.8×	59	346
Lie Yang	99 0.6×	73 0.8×	47 0.5×	69 1.1×	6 0.1×	32	436

Countries citing papers authored by Ling He

Since Specialization

Citations

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

Fields of papers citing papers by Ling He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling He

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