Aidong Zhang
- Signal Processing top 0.5%
- Artificial Intelligence top 0.2%
- Topic Modeling 22
- Machine Learning in Healthcare 21
- Health Information Management top 0.5%
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- Image Retrieval and Classification Techniques 39
- Advanced Image and Video Retrieval Techniques 26
- Health Informatics top 5%
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- Bioinformatics and Genomic Networks 87
- Gene expression and cancer classification 61
- Biomedical Text Mining and Ontologies 28
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- Computational Drug Discovery Methods 24
- Co-authors
- Gholamhosein SheikholeslamiGuangxu XunSurojit ChatterjeeMurali RamanathanJing GaoYe YuanKebin JiaYoung‐Rae Cho
- Journals
- Nucleic Acids Research (2 papers)Journal of Clinical Investigation (1 paper)Bioinformatics (11 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Aidong Zhang
363 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Signal Processing 987
- Artificial Intelligence 2.8k
- Health Information Management 299
- Computer Vision and Pattern Recognition 1.2k
- Health Informatics 49
Countries citing papers authored by Aidong Zhang
This map shows the geographic impact of Aidong Zhang'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 Aidong Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aidong Zhang more than expected).
Fields of papers citing papers by Aidong Zhang
This network shows the impact of papers produced by Aidong Zhang. 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 Aidong Zhang. The network helps show where Aidong Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aidong Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Benchmarking Retrieval-Augmented Generation for Medicinebreakdown → | 2024 | 80 |
| 2 | 2024 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 36 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 16 | |
| 10 | A Survey on Causal Inferencebreakdown → | 2021 | 257 |
| 11 | 2021 | 8 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 3 | |
| 14 | 2018 | 17 | |
| 15 | 2018 | 94 | |
| 16 | 2018 | 182 | |
| 17 | Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology | 2010 | 20 |
| 18 | Enhanced visualization of time series through higher Fourier harmonics | 2003 | 3 |
| 19 | Locating Image Background By Monotonic Tree. | 2002 | 2 |
| 20 | 1997 | 7 |
About Aidong Zhang
Aidong Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 377 papers that have together received 7.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (87 papers), Gene expression and cancer classification (61 papers), Image Retrieval and Classification Techniques (39 papers), Biomedical Text Mining and Ontologies (28 papers), Advanced Image and Video Retrieval Techniques (26 papers), Computational Drug Discovery Methods (24 papers), Topic Modeling (22 papers) and Machine Learning in Healthcare (21 papers). The work is most often cited by research in Signal Processing (987 citations), Artificial Intelligence (2.8k citations) and Health Information Management (299 citations). Aidong Zhang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Gholamhosein Sheikholeslami, Guangxu Xun, Surojit Chatterjee, Murali Ramanathan, Jing Gao, Ye Yuan, Kebin Jia, Young‐Rae Cho, Tianle Ma and Qiuling Suo. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and Bioinformatics.
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.