Yichen Li

1.3k citations
60 papers · 529 · h-index 13

Impact in

Papers in

Yichen Li

47 papers receiving 524 citations

Peers

Yichen Li
Comparison fields: 5 of 100
  • Software 39
  • Soil Science 68
  • Environmental Engineering 74
  • Pollution 55
  • Computer Networks and Communications 107
Replace Philip Sallis with:
Philip Sallis New Zealand
Ruirui Huang China
Muhammad Rashid Naeem China
Weifeng Zhang China
R. Krishnamoorthy India
Zhuo Jiang China
Babita Majhi India
Pengfei Zheng China
Kaixuan Zhang China
S. Rangarajan United States
Yichen Li relative to Philip Sallis New Zealand Philip Sallis's profile →
Citations per field
00.5×10×15×19.8×
Philip Sallis · 1×
Citations per year

Countries citing papers authored by Yichen Li

Since Specialization
Citations

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

Fields of papers citing papers by Yichen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yichen Li, 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 Yichen Li Line = papers co-authored together Yichen Li 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 2020104
2 201875
3 202332
4 202431
5 202327
6 201425
7 202225
8 201820
9 202417
10 202315
11 202413
12 201712
13 202112
14 202011
15 202210
16 202210
17 20249
18 20248
19 20238
20 20188

About Yichen Li

Yichen Li is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Software and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 529 indexed citations. Recurring topics across this work include Software System Performance and Reliability (10 papers), Software Testing and Debugging Techniques (7 papers), Software Engineering Research (6 papers), Anomaly Detection Techniques and Applications (5 papers), Network Security and Intrusion Detection (4 papers), Adversarial Robustness in Machine Learning (3 papers), Advanced Malware Detection Techniques (3 papers) and Privacy-Preserving Technologies in Data (3 papers). The work is most often cited by research in Software (39 citations), Soil Science (68 citations), Environmental Engineering (74 citations), Pollution (55 citations) and Computer Networks and Communications (107 citations). Yichen Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Michael R. Lyu, Alberto Martilli, Silvana Di Sabatino, Pak Wai Chan, Yintong Huo, Weihua Guo, Yufei Gao, Ning Du, Jian Liu and Pengcheng Zhu. Their work appears in journals such as IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, Epidemiology and Infection, Journal of Affective Disorders and Journal of Pipeline Science and Engineering.

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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