Jinlong Wu

71 total papers · 981 total citations
46 papers, 553 citations indexed

About

Jinlong Wu is a scholar working on Psychiatry and Mental health, Rehabilitation and Cognitive Neuroscience. According to data from OpenAlex, Jinlong Wu has authored 46 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Psychiatry and Mental health, 7 papers in Rehabilitation and 7 papers in Cognitive Neuroscience. Recurrent topics in Jinlong Wu's work include Stroke Rehabilitation and Recovery (7 papers), Musculoskeletal pain and rehabilitation (6 papers) and Cerebral Palsy and Movement Disorders (4 papers). Jinlong Wu is often cited by papers focused on Stroke Rehabilitation and Recovery (7 papers), Musculoskeletal pain and rehabilitation (6 papers) and Cerebral Palsy and Movement Disorders (4 papers). Jinlong Wu collaborates with scholars based in China, Hong Kong and United States. Jinlong Wu's co-authors include Zhanbing Ren, Paul D. Loprinzi, Ziyan Chen, Wei‐Min Dai, Xian Huang, Gongwei Zhang, Yi Sun, Xiaodong Wang, Joanne Yip and Li Peng and has published in prestigious journals such as Molecular Psychiatry, International Journal of Environmental Research and Public Health and Frontiers in Psychology.

In The Last Decade

Jinlong Wu

44 papers receiving 531 citations

Author Peers

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

Author Last Decade Papers Cites
Jinlong Wu 144 131 74 70 68 46 553
Devrim Tarakçı 272 1.9× 202 1.5× 96 1.3× 82 1.2× 41 0.6× 59 638
Shahnaz Shahrbanian 131 0.9× 44 0.3× 88 1.2× 66 0.9× 82 1.2× 59 630
Yumi Kim 273 1.9× 245 1.9× 45 0.6× 56 0.8× 60 0.9× 41 601
Eun-Jung Chung 165 1.1× 187 1.4× 62 0.8× 31 0.4× 83 1.2× 52 578
Charles Sèbiyo Batcho 208 1.4× 279 2.1× 75 1.0× 35 0.5× 50 0.7× 59 656
Ayhan Aşkın 129 0.9× 178 1.4× 87 1.2× 37 0.5× 32 0.5× 43 548
Regiani Guarnieri 128 0.9× 152 1.2× 25 0.3× 57 0.8× 119 1.8× 20 531
Juan Carlos Miangolarra Page 144 1.0× 144 1.1× 120 1.6× 20 0.3× 49 0.7× 46 588
Javier Güeita‐Rodríguez 134 0.9× 57 0.4× 72 1.0× 96 1.4× 44 0.6× 48 516
Imran Amjad 134 0.9× 117 0.9× 86 1.2× 18 0.3× 128 1.9× 71 524

Countries citing papers authored by Jinlong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jinlong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinlong Wu

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