Yu Long Chen

940 citations
34 papers · 595 · h-index 10

Impact in

Papers in

Yu Long Chen

31 papers receiving 585 citations

Peers

Yu Long Chen
Comparison fields: 5 of 114
  • Biochemistry 164
  • Pathology and Forensic Medicine 188
  • Food Science 137
  • General Energy 5
  • Analytical Chemistry 45
Replace Gang Lu with:
Gang Lu China
Alireza Arabshahi United States
Qinghua Chen China
Jeong-Sook Lee South Korea
Xiujuan Deng China
Tongtong Song China
Toshihiro Mukai Japan
Quan Wen China
Tiffany J. Hager United States
Hatice Baş Türkiye
Yu Long Chen relative to Gang Lu China Gang Lu's profile →
Citations per field
00.5×4.3×
Gang Lu · 1×
Citations per year

Countries citing papers authored by Yu Long Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yu Long Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017148
2 2010108
3 200999
4 201577
5 201843
6 200917
7 201615
8 201411
9 202010
10 20169
11 20138
12 20175
13 20244
14 20214
15 20214
16 20174
17 20204
18 20253
19 20253
20 20253

About Yu Long Chen

Yu Long Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Pathology and Forensic Medicine, Biochemistry and Mechanical Engineering, having authored 34 papers that have together received 595 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (6 papers), Coding theory and cryptography (5 papers), Chaos-based Image/Signal Encryption (5 papers), Phytochemicals and Antioxidant Activities (4 papers), Tea Polyphenols and Effects (4 papers), Cryptography and Data Security (3 papers), Advanced Surface Polishing Techniques (3 papers) and Advanced Machining and Optimization Techniques (3 papers). The work is most often cited by research in Biochemistry (164 citations), Pathology and Forensic Medicine (188 citations), Food Science (137 citations), General Energy (5 citations) and Analytical Chemistry (45 citations). Yu Long Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhen-Yu Zhao, Yukio Kakuda, Sophia Jun Xue, Jun Duan, John Shi, Ruidong Chang, Bo Zou, Manqin Fu, Jijun Wu and Yujuan Xu. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, Food Chemistry, The International Journal of Advanced Manufacturing Technology, Food Research International and Journal of Materials Research and Technology.

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.

Explore authors with similar magnitude of impact