Fengshui Chang

33 total papers · 458 total citations
24 papers, 289 citations indexed

About

Fengshui Chang is a scholar working on General Health Professions, Pathology and Forensic Medicine and Rehabilitation. According to data from OpenAlex, Fengshui Chang has authored 24 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 7 papers in Pathology and Forensic Medicine and 6 papers in Rehabilitation. Recurrent topics in Fengshui Chang's work include Spinal Cord Injury Research (7 papers), Stroke Rehabilitation and Recovery (6 papers) and Global Health Care Issues (6 papers). Fengshui Chang is often cited by papers focused on Spinal Cord Injury Research (7 papers), Stroke Rehabilitation and Recovery (6 papers) and Global Health Care Issues (6 papers). Fengshui Chang collaborates with scholars based in China, United States and Ghana. Fengshui Chang's co-authors include Jun Lü, Chengyue Li, Xiaohong Li, Hao Mo, Ying Wang, Mei Sun, Jay J. Shen, Xiaohong Li, Yilin Hou and Gang Chen and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Frontiers in Psychology and BMC Public Health.

In The Last Decade

Fengshui Chang

21 papers receiving 282 citations

Author Peers

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

Author Last Decade Papers Cites
Fengshui Chang 106 90 61 51 43 24 289
Shangzhi Xiong 150 1.4× 64 0.7× 25 0.4× 40 0.8× 61 1.4× 33 329
Ibrahim R. Bou-Orm 92 0.9× 44 0.5× 41 0.7× 29 0.6× 42 1.0× 31 287
Abhijit Das 67 0.6× 33 0.4× 94 1.5× 42 0.8× 20 0.5× 27 302
Marjan Vejdani 112 1.1× 27 0.3× 34 0.6× 49 1.0× 35 0.8× 42 307
Mary Lou Breslin 135 1.3× 22 0.2× 19 0.3× 71 1.4× 67 1.6× 19 320
Agnus M. Kim 124 1.2× 23 0.3× 25 0.4× 58 1.1× 48 1.1× 26 305
Diana Margot Rosenthal 111 1.0× 16 0.2× 34 0.6× 41 0.8× 26 0.6× 23 297
Paula Duarte de Oliveira 55 0.5× 16 0.2× 81 1.3× 19 0.4× 75 1.7× 38 325
Bhageerathy Reshmi 81 0.8× 89 1.0× 60 1.0× 71 1.4× 23 0.5× 25 207
Shana Alex Lavarreda 171 1.6× 15 0.2× 15 0.2× 127 2.5× 28 0.7× 16 310

Countries citing papers authored by Fengshui Chang

Since Specialization
Citations

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

Fields of papers citing papers by Fengshui Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengshui Chang

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