Junyang Chen

18 papers receiving 181 citations

Peers

Junyang Chen
Comparison fields: 5 of 79
  • Health Informatics 3
  • Analytical Chemistry 20
  • Medical Laboratory Technology 2
  • Radiology, Nuclear Medicine and Imaging 28
  • Computer Vision and Pattern Recognition 27
Replace Muhammad Hassan with:
Muhammad Hassan China
Pingli Ma China
Fatih Ekinci Türkiye
Rajneesh Kumar Patel India
Zhikai Li China
Ali Beikmohammadi Sweden
Álex Hernández-García Germany
Rafael Namías Argentina
Md. Abu Bakr Siddique Bangladesh
Junyang Chen relative to Muhammad Hassan China Muhammad Hassan's profile →
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Countries citing papers authored by Junyang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Junyang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202267
2 202326
3 202216
4 201513
5 202312
6 202310
7 20236
8 20256
9 20215
10 20245
11 20243
12 20233
13 20233
14 20232
15
[Combined evaluation of serum follicle-stimulating hormone, inhibin B, chromosome karyotyping and AZF microdeletion of Y-chromosome for predicting outcomes of testicular sperm aspiration in azoospermic patients].
20141
16 20141
17 20251
18 20251
19 20250
20 20250

About Junyang Chen

Junyang Chen is a scholar working on Pulmonary and Respiratory Medicine, Biomedical Engineering, Computer Networks and Communications, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 181 indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (2 papers), Boron Compounds in Chemistry (2 papers), Advanced Chemical Sensor Technologies (2 papers), Dental Research and COVID-19 (1 paper), Ubiquitin and proteasome pathways (1 paper), Wildlife Ecology and Conservation (1 paper), Obstructive Sleep Apnea Research (1 paper) and Blockchain Technology Applications and Security (1 paper). The work is most often cited by research in Health Informatics (3 citations), Analytical Chemistry (20 citations), Medical Laboratory Technology (2 citations), Radiology, Nuclear Medicine and Imaging (28 citations) and Computer Vision and Pattern Recognition (27 citations). Junyang Chen has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Yating Zhang, Hui Liu, Wenjun Ma, Philip M. Polgreen, James F. Cremer, Kasra Zarei, Alberto M. Segre, Yihui He, Chaoning Zhan and Jin Hou. Their work appears in journals such as Open Forum Infectious Diseases, Applied Sciences, The Journal of Organic Chemistry, Journal of Endodontics and Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms.

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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