Yanjun Qi
Impact in
- Artificial Intelligence top 0.5%
- Adversarial Robustness in Machine Learning
- Topic Modeling
- Natural Language Processing Techniques
- Anomaly Detection Techniques and Applications
- Signal Processing top 2%
- Advanced Malware Detection Techniques
Papers in
-
- Topic Modeling 23
- Adversarial Robustness in Machine Learning 12
- Natural Language Processing Techniques 11
- Text and Document Classification Technologies 10
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- Bioinformatics and Genomic Networks 11
- Machine Learning in Bioinformatics 10
- Gene expression and cancer classification 7
- Co-authors
- Jack Lanchantin (10 shared papers)Judith Klein‐Seetharaman (11 shared papers)Ziv Bar‐Joseph (6 shared papers)Ritambhara Singh (8 shared papers)Vicente Ordóñez (4 shared papers)Ji Gao (6 shared papers)Mary Lou Soffa (1 shared paper)Jin Yong Yoo (4 shared papers)
- Journals
- Bioinformatics (6 papers)Nucleic Acids Research (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)IEEE Transactions on Affective Computing (1 paper)PROTEOMICS (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yanjun Qi
82 papers receiving 4.3k citations
Yanjun Qi's Hit Papers
Peers
Comparison fields: 5 of 180
- Artificial Intelligence 1.9k
- Signal Processing 504
- Computer Vision and Pattern Recognition 639
- Molecular Biology 1.5k
- Information Systems 423
Countries citing papers authored by Yanjun Qi
This map shows the geographic impact of Yanjun Qi'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 Yanjun Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanjun Qi more than expected).
Fields of papers citing papers by Yanjun Qi
This network shows the impact of papers produced by Yanjun Qi. 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 Yanjun Qi. The network helps show where Yanjun Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanjun Qi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Random Forest for Bioinformatics Hit paper breakdown → | 2012 | 554 |
| 2 | Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers Hit paper breakdown → | 2018 | 405 |
| 3 | TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP Hit paper breakdown → | 2020 | 349 |
| 4 | 2006 | 282 | |
| 5 | General Multi-label Image Classification with Transformers Hit paper breakdown → | 2021 | 243 |
| 6 | 2016 | 194 | |
| 7 | Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning Hit paper breakdown → | 2021 | 191 |
| 8 | 2015 | 188 | |
| 9 | 2016 | 153 | |
| 10 | 2004 | 141 | |
| 11 | 2016 | 137 | |
| 12 | 2010 | 124 | |
| 13 | 2008 | 116 | |
| 14 | 2011 | 110 | |
| 15 | 2008 | 107 | |
| 16 | 2009 | 94 | |
| 17 | 2016 | 86 | |
| 18 | 2009 | 72 | |
| 19 | 2003 | 55 | |
| 20 | 2020 | 54 |
About Yanjun Qi
Yanjun Qi is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 91 papers that have together received 4.5k indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Adversarial Robustness in Machine Learning (12 papers), Natural Language Processing Techniques (11 papers), Bioinformatics and Genomic Networks (11 papers), Machine Learning in Bioinformatics (10 papers), Text and Document Classification Technologies (10 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Gene expression and cancer classification (7 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Signal Processing (504 citations), Computer Vision and Pattern Recognition (639 citations), Molecular Biology (1.5k citations) and Information Systems (423 citations). Yanjun Qi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jack Lanchantin, Judith Klein‐Seetharaman, Ziv Bar‐Joseph, Ritambhara Singh, Vicente Ordóñez, Ji Gao, Mary Lou Soffa, Jin Yong Yoo, John X. Morris and Eli Lifland. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Affective Computing and PROTEOMICS.
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.