Yihe Deng

768 total citations · 1 hit paper
4 papers, 409 citations indexed

About

Yihe Deng is a scholar working on Artificial Intelligence, Signal Processing and Infectious Diseases. According to data from OpenAlex, Yihe Deng has authored 4 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Signal Processing and 0 papers in Infectious Diseases. Recurrent topics in Yihe Deng's work include Adversarial Robustness in Machine Learning (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Topic Modeling (1 paper). Yihe Deng is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Topic Modeling (1 paper). Yihe Deng collaborates with scholars based in China and United States. Yihe Deng's co-authors include Kun He, Wanxiang Che, Shuhuai Ren, Xiaosen Wang and Yichen Yang and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Yihe Deng

3 papers receiving 399 citations

Hit Papers

Generating Natural Language Adversarial Examples through ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yihe Deng China 2 390 115 47 42 32 4 409
Shuhuai Ren China 8 404 1.0× 106 0.9× 52 1.1× 99 2.4× 34 1.1× 14 477
Jin Yong Yoo United States 5 324 0.8× 82 0.7× 47 1.0× 40 1.0× 34 1.1× 6 364
Jake Grigsby United States 2 268 0.7× 66 0.6× 37 0.8× 33 0.8× 26 0.8× 2 313
Sahar Abdelnabi Germany 4 148 0.4× 55 0.5× 55 1.2× 94 2.2× 39 1.2× 11 289
Jiazhu Dai China 7 267 0.7× 86 0.7× 62 1.3× 20 0.5× 22 0.7× 17 304
Quan Hung Tran United States 14 345 0.9× 51 0.4× 118 2.5× 80 1.9× 9 0.3× 26 427
Atulya Velivelli United States 6 186 0.5× 30 0.3× 102 2.2× 56 1.3× 13 0.4× 11 277
Chengfang Fang Singapore 8 163 0.4× 32 0.3× 22 0.5× 23 0.5× 21 0.7× 17 210
Maosong Sun China 7 214 0.5× 46 0.4× 33 0.7× 28 0.7× 5 0.2× 16 237
Jiarong Xu China 10 174 0.4× 22 0.2× 38 0.8× 36 0.9× 9 0.3× 26 223

Countries citing papers authored by Yihe Deng

Since Specialization
Citations

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

Fields of papers citing papers by Yihe Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yihe Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Yihe Deng. A scholar is included among the top collaborators of Yihe Deng 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 Yihe Deng. Yihe Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Deng, Yihe, et al.. (2022). Towards Understanding the Mixture-Of-Experts Layer in Deep Learning. 23049–23062.
2.
Wang, Xiaosen, Yichen Yang, Yihe Deng, & Kun He. (2021). Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks. Proceedings of the AAAI Conference on Artificial Intelligence. 35(16). 13997–14005. 45 indexed citations
3.
Wang, Xiaosen, Yichen Yang, Yihe Deng, & Kun He. (2020). Fast Gradient Projection Method for Text Adversary Generation and Adversarial Training. arXiv (Cornell University). 1 indexed citations
4.
Ren, Shuhuai, Yihe Deng, Kun He, & Wanxiang Che. (2019). Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency. 1085–1097. 363 indexed citations breakdown →

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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