Yiming Li

3.3k citations
82 papers · 1.5k indexed · 1 hit paper · h-index 17
Topics
Adversarial Robustness in Machine Learning (18 papers)Anomaly Detection Techniques and Applications (13 papers)Privacy-Preserving Technologies in Data (7 papers)

In The Last Decade

Yiming Li

71 papers receiving 1.4k citations

Hit Papers

Backdoor Learning: A Survey2022202620232024202250100150200250

Peers

Yiming Li
Comparison fields: 5 of 143
  • Artificial Intelligence 708
  • Computer Vision and Pattern Recognition 389
  • Signal Processing 218
  • Organic Chemistry 174
  • Computer Networks and Communications 162
Replace Liang Chang with:
Liang Chang China
M. Srinivas India
Di Zhang China
Zhi‐Hua Zhou China
Gang Xie China
Qi Sun China
Zhen Li China
Xu Yuan United States
Vassilis P. Plagianakos Greece
Xinxin Fan China
Yiming Li relative to Liang Chang China Liang Chang's profile →
Citations per field
00.5×3.5×
Liang Chang · 1×
Citations per year

Countries citing papers authored by Yiming Li

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yiming Li. A scholar is included among the top collaborators of Yiming Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yiming Li. Yiming Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3 0
4 1
5 2
6 0
7 5
8 12
9 1
10 12
11 2
12 3
13 43
14 21
15
Backdoor Learning: A Surveybreakdown →
280
16 1
17 27
18 13
19 12
20 8

About Yiming Li

Yiming Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Acoustics and Ultrasonics, having authored 82 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (18 papers), Anomaly Detection Techniques and Applications (13 papers) and Privacy-Preserving Technologies in Data (7 papers). The work is most often cited by research in Artificial Intelligence (708 citations), Signal Processing (218 citations) and Computer Vision and Pattern Recognition (389 citations). Yiming Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Shu‐Tao Xia, Yong Jiang, Zhifeng Li, Jinghuan Guo, Yaqing Liu, Keyu Chen, Xuefeng Jiang, Yubo Zhou, Jia Li and Deqing Hu. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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