Jiwei Yang

2.7k citations
60 papers · 2.2k · h-index 19

Impact in

Papers in

Jiwei Yang

57 papers receiving 2.1k citations

Peers

Jiwei Yang
Comparison fields: 5 of 104
  • Physiology 321
  • Computer Vision and Pattern Recognition 193
  • Molecular Biology 460
  • Aging 6
  • Pulmonary and Respiratory Medicine 127
Replace Kooresh Isaac Shoghi with:
Kooresh Isaac Shoghi United States
Zhihao Chen China
Ying Peng China
Weidong Yang China
Wen Dong China
Ling Xie China
Yan Cui United States
Pengyi Yang Australia
Jiwei Yang relative to Kooresh Isaac Shoghi United States Kooresh Isaac Shoghi's profile →
Citations per field
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Kooresh Isaac Shoghi · 1×
Citations per year

Countries citing papers authored by Jiwei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jiwei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiwei Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jiwei Yang Line = papers co-authored together Jiwei Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999432
2 2010383
3 2019283
4 2003137
5 1997130
6 2001128
7 201081
8 201863
9 200250
10 201243
11 201840
12 200139
13 201938
14 199730
15 202027
16 201326
17 201622
18 201920
19 199719
20 200619

About Jiwei Yang

Jiwei Yang is a scholar working on Complementary and alternative medicine, Molecular Biology, Plant Science, Computer Vision and Pattern Recognition and Physiology, having authored 60 papers that have together received 2.2k indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (7 papers), Pluripotent Stem Cells Research (4 papers), Muscle Physiology and Disorders (3 papers), Plant responses to water stress (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Video Surveillance and Tracking Methods (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Digital Radiography and Breast Imaging (2 papers). The work is most often cited by research in Physiology (321 citations), Computer Vision and Pattern Recognition (193 citations), Molecular Biology (460 citations), Aging (6 citations) and Pulmonary and Respiratory Medicine (127 citations). Jiwei Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include G. Scott Herron, Edwin Chang, Athena M. Cherry, Charles D. Bangs, Choy‐Pik Chiu, Yoko A. Oei, Xinmei Tian, Xu Shen, Xian‐Sheng Hua and HouQiang Li. Their work appears in journals such as Scientific Reports, Nature Biotechnology, BMJ Open, Frontiers in Plant Science and Chinese Journal of Integrative Medicine.

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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