Aidong Zhang

12.0k total citations · 2 hit papers
377 papers, 7.7k citations indexed

About

Aidong Zhang is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aidong Zhang has authored 377 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Molecular Biology, 133 papers in Artificial Intelligence and 79 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aidong Zhang's work include Bioinformatics and Genomic Networks (87 papers), Gene expression and cancer classification (61 papers) and Image Retrieval and Classification Techniques (39 papers). Aidong Zhang is often cited by papers focused on Bioinformatics and Genomic Networks (87 papers), Gene expression and cancer classification (61 papers) and Image Retrieval and Classification Techniques (39 papers). Aidong Zhang collaborates with scholars based in United States, China and Canada. Aidong Zhang's 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 and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Bioinformatics.

In The Last Decade

Aidong Zhang

363 papers receiving 7.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey on Causal Inference

2021 257 citations Liuyi Yao, Zhixuan Chu et al. ACM Transactions on Knowledge Discovery from Data profile →
Benchmarking Retrieval-Augmented Generation for Medicine

2024 80 citations Guangzhi Xiong, Qiao Jin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aidong Zhang United States	44	2.8k	2.1k	1.2k	987	669	377	7.7k
Chen Ding China	20	3.4k 1.2×	1.7k 0.8×	2.4k 2.0×	806 0.8×	658 1.0×	125	9.0k
Min Wu China	48	1.9k 0.7×	3.6k 1.7×	861 0.7×	608 0.6×	615 0.9×	450	9.7k
Xiaoli Li China	57	4.2k 1.5×	4.3k 2.0×	1.8k 1.5×	964 1.0×	596 0.9×	531	13.9k
Michel Verleysen Belgium	44	4.1k 1.5×	594 0.3×	2.5k 2.1×	1.0k 1.0×	598 0.9×	287	8.7k
Pedro Larrañaga Spain	48	5.5k 2.0×	3.2k 1.5×	1.6k 1.4×	606 0.6×	533 0.8×	231	11.9k
Jesse Davis Belgium	25	2.5k 0.9×	1.1k 0.5×	798 0.7×	458 0.5×	124 0.2×	151	5.9k
Samuel Kaski Finland	43	3.2k 1.2×	1.6k 0.7×	2.1k 1.7×	774 0.8×	546 0.8×	303	7.5k
Simon Fong Macao	39	2.8k 1.0×	588 0.3×	942 0.8×	536 0.5×	285 0.4×	428	7.1k
George H. John United States	10	4.2k 1.5×	1.2k 0.6×	2.0k 1.6×	732 0.7×	358 0.5×	18	8.0k
Janez Demšar Slovenia	25	6.6k 2.4×	1.3k 0.6×	2.3k 1.9×	972 1.0×	269 0.4×	54	11.4k

Countries citing papers authored by Aidong Zhang

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Aidong Zhang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Xiong, Guangzhi, Qiao Jin, Zhiyong Lu, & Aidong Zhang. (2024). Benchmarking Retrieval-Augmented Generation for Medicine. 6233–6251. 80 indexed citations breakdown →

2.

Xiong, Guangzhi, et al.. (2024). DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data. Bioinformatics. 40(7).

3.

Wu, Xidong, et al.. (2024). On the Role of Server Momentum in Federated Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 15164–15172. 4 indexed citations

4.

Zhang, Aidong, et al.. (2024). Methods for evaluating unsupervised vector representations of genomic regions. NAR Genomics and Bioinformatics. 6(3). lqae086–lqae086. 2 indexed citations

5.

Wang, Zhenjia, et al.. (2024). DARDN: A Deep-Learning Approach for CTCF Binding Sequence Classification and Oncogenic Regulatory Feature Discovery. Genes. 15(2). 144–144.

6.

Huai, Mengdi, et al.. (2024). AdvST: Revisiting Data Augmentations for Single Domain Generalization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21832–21840. 8 indexed citations

7.

Xue, Hongfei, Qiming Cao, Chenglin Miao, et al.. (2023). Towards Generalized mmWave-based Human Pose Estimation through Signal Augmentation. 1–15. 36 indexed citations

8.

Yao, Liuyi, Yaliang Li, Sheng Li, et al.. (2022). Concept-Level Model Interpretation From the Causal Aspect. IEEE Transactions on Knowledge and Data Engineering. 35(9). 8799–8810. 5 indexed citations

9.

Smith, Jason P., et al.. (2021). Embeddings of genomic region sets capture rich biological associations in lower dimensions. Bioinformatics. 37(23). 4299–4306. 16 indexed citations

10.

Yao, Liuyi, Zhixuan Chu, Sheng Li, et al.. (2021). A Survey on Causal Inference. ACM Transactions on Knowledge Discovery from Data. 15(5). 1–46. 257 indexed citations breakdown →

11.

Jha, Kishlay & Aidong Zhang. (2021). Continual knowledge infusion into pre-trained biomedical language models. Bioinformatics. 38(2). 494–502. 8 indexed citations

12.

Liu, Jinduo, Junzhong Ji, Guangxu Xun, & Aidong Zhang. (2021). Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score. IEEE Transactions on Neural Networks and Learning Systems. 33(10). 5993–6006. 21 indexed citations

13.

Jha, Kishlay, Guangxu Xun, & Aidong Zhang. (2021). Continual representation learning for evolving biomedical bipartite networks. Bioinformatics. 37(15). 2190–2197. 3 indexed citations

14.

Xiao, Houping, Jing Gao, Qi Li, et al.. (2018). Towards Confidence Interval Estimation in Truth Discovery. IEEE Transactions on Knowledge and Data Engineering. 31(3). 575–588. 17 indexed citations

15.

Suo, Qiuling, Fenglong Ma, Ye Yuan, et al.. (2018). Deep Patient Similarity Learning for Personalized Healthcare. IEEE Transactions on NanoBioscience. 17(3). 219–227. 94 indexed citations

16.

Yuan, Ye, Guangxu Xun, Kebin Jia, & Aidong Zhang. (2018). A Multi-View Deep Learning Framework for EEG Seizure Detection. IEEE Journal of Biomedical and Health Informatics. 23(1). 83–94. 182 indexed citations

17.

Zhang, Aidong, Mark Borodovsky, Gültekin Özsoyoğlu, & Armin R. Mikler. (2010). Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology. International Conference on Bioinformatics. 20 indexed citations

18.

Zhang, Li, Aidong Zhang, & Murali Ramanathan. (2003). Enhanced visualization of time series through higher Fourier harmonics. 49–56. 3 indexed citations

19.

Song, Yuqing & Aidong Zhang. (2002). Locating Image Background By Monotonic Tree.. 879–884. 2 indexed citations

20.

Chang, Wei‐Jen, et al.. (1997). Metadatabase and search agent for multimedia database access over Internet. 626–627. 7 indexed citations

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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