Xin Peng

33 papers receiving 612 citations

Peers

Xin Peng
Comparison fields: 5 of 125
  • Geriatrics and Gerontology 52
  • Health Informatics 8
  • Emergency Medical Services 32
  • Research and Theory 3
  • Rehabilitation 22
Replace Charles A. Odonkor with:
Charles A. Odonkor United States
Chia‐Ju Lin Taiwan
Jessica Roberts United States
Christine Park United States
Michiko Kido Japan
Austin Lee United States
J. Hootman United States
Martin J. Sullivan United States
Oliver Brunckhorst United Kingdom
Wojciech Glinkowski Poland
Xin Peng relative to Charles A. Odonkor United States Charles A. Odonkor's profile →
Citations per field
00.5×5.2×
Charles A. Odonkor · 1×
Citations per year

Countries citing papers authored by Xin Peng

Since Specialization
Citations

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

Fields of papers citing papers by Xin Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xin Peng, 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 Xin Peng Line = papers co-authored together Xin Peng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201887
2 201281
3 202173
4 202157
5 201939
6 202133
7 202128
8 202125
9 202022
10 202119
11 201917
12 202116
13 201514
14 202113
15 201513
16 202211
17 202111
18 201910
19 20229
20 20238

About Xin Peng

Xin Peng is a scholar working on Pulmonary and Respiratory Medicine, Applied Psychology, Computer Networks and Communications, Molecular Biology and Pathology and Forensic Medicine, having authored 37 papers that have together received 625 indexed citations. Recurring topics across this work include Optimism, Hope, and Well-being (3 papers), Patient Safety and Medication Errors (2 papers), Photodynamic Therapy Research Studies (2 papers), Spine and Intervertebral Disc Pathology (2 papers), Distributed systems and fault tolerance (2 papers), Materials Engineering and Processing (2 papers), Religion, Spirituality, and Psychology (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Geriatrics and Gerontology (52 citations), Health Informatics (8 citations), Emergency Medical Services (32 citations), Research and Theory (3 citations) and Rehabilitation (22 citations). Xin Peng has collaborated with scholars based in China, Bangladesh and Australia. Frequent co-authors include Kun Li, Jiaxin Li, Zijun Zhou, Yuan Li, Jianyu Dong, Jiaqi Han, Wei Xiang, Zhihui Li, Jian Xu and Xiaolin Peng. Their work appears in journals such as PLoS ONE, Journal of Advanced Nursing, Nursing and Health Sciences, International Journal of Metalcasting and Journal of Orthopaedic Surgery and Research.

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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