Yin-Jun Chen

23 papers receiving 201 citations

Peers

Yin-Jun Chen
Comparison fields: 5 of 72
  • Ocean Engineering 52
  • Soil Science 28
  • General Agricultural and Biological Sciences 23
  • Computer Networks and Communications 57
  • Organic Chemistry 34
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Citations per year

Countries citing papers authored by Yin-Jun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yin-Jun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200753
2 202131
3 202121
4
The Quality Analysis of Cultivated Land in China
201118
5 201015
6 20069
7 20219
8 20117
9
Kuznets Characteristics of “Three Wastes” in China and the Gray Incidence Analysis of Their Causes of Formation
20057
10 20096
11 20226
12 20164
13 20163
14 20253
15 20142
16
Sustainable Groundwater Use in NCP Agriculture and Food Security of China
20082
17
Analysis of soil environmental quality status of arable land in China.
20142
18 20192
19 20132
20 20111

About Yin-Jun Chen

Yin-Jun Chen is a scholar working on Computer Networks and Communications, Automotive Engineering, Transportation, Organic Chemistry and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 207 indexed citations. Recurring topics across this work include Environmental Quality and Pollution (3 papers), Context-Aware Activity Recognition Systems (3 papers), Catalytic C–H Functionalization Methods (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Cyclopropane Reaction Mechanisms (2 papers), Video Analysis and Summarization (2 papers), Indoor and Outdoor Localization Technologies (2 papers) and Advanced Chemical Physics Studies (2 papers). The work is most often cited by research in Ocean Engineering (52 citations), Soil Science (28 citations), General Agricultural and Biological Sciences (23 citations), Computer Networks and Communications (57 citations) and Organic Chemistry (34 citations). Yin-Jun Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Haoli Wang, Lin Dong, Huifang Shang, Zewei Zhang, Changbin Yin, Jiahui Yang, Yan‐Jun Xu, Sheng-Tzong Cheng, Ruizhen Yang and Gwo-Jiun Horng. Their work appears in journals such as Wireless Personal Communications, The Journal of Physical Chemistry A, Organic Chemistry Frontiers, Expert Systems with Applications and Organic & Biomolecular Chemistry.

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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