Sendong Zhao

1.4k total citations · 1 hit paper
30 papers, 759 citations indexed

About

Sendong Zhao is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sendong Zhao has authored 30 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 8 papers in Molecular Biology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sendong Zhao's work include Topic Modeling (19 papers), Natural Language Processing Techniques (10 papers) and Biomedical Text Mining and Ontologies (8 papers). Sendong Zhao is often cited by papers focused on Topic Modeling (19 papers), Natural Language Processing Techniques (10 papers) and Biomedical Text Mining and Ontologies (8 papers). Sendong Zhao collaborates with scholars based in China, United States and Australia. Sendong Zhao's co-authors include Ting Liu, Mengying Sun, Coryandar Gilvary, Olivier Elemento, Jiayu Zhou, Fei Wang, Sicheng Zhao, Fei Wang, Wanxiang Che and Fei Wang and has published in prestigious journals such as Bioinformatics, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Sendong Zhao

27 papers receiving 730 citations

Hit Papers

Graph convolutional networks for computational drug devel... 2019 2026 2021 2023 2019 50 100 150 200 250
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.

  1. Graph convolutional networks for computational drug development and discovery
    2019 271 citations Sendong Zhao et al. Briefings in Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sendong Zhao China 10 426 294 191 102 101 30 759
Liva Ralaivola France 11 299 0.7× 550 1.9× 348 1.8× 92 0.9× 130 1.3× 26 1.0k
Vijil Chenthamarakshan United States 13 210 0.5× 218 0.7× 264 1.4× 53 0.5× 182 1.8× 29 708
Xiang Yue China 15 332 0.8× 772 2.6× 514 2.7× 47 0.5× 66 0.7× 40 1.2k
Nils M. Kriege Germany 9 270 0.6× 91 0.3× 108 0.6× 162 1.6× 44 0.4× 24 469
Stefan Schönauer United States 6 425 1.0× 216 0.7× 104 0.5× 198 1.9× 43 0.4× 9 723
Gang Tian China 9 152 0.4× 240 0.8× 204 1.1× 49 0.5× 52 0.5× 17 533
Dekel Tsur Israel 12 192 0.5× 490 1.7× 150 0.8× 65 0.6× 14 0.1× 49 831

Countries citing papers authored by Sendong Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Sendong Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sendong Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Sendong Zhao. A scholar is included among the top collaborators of Sendong Zhao 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 Sendong Zhao. Sendong Zhao 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
1.
2.
Yang, Liming, Sendong Zhao, Shumin Deng, et al.. (2025). ReLearn: Unlearning via Learning for Large Language Models. 5967–5987. 1 indexed citations
3.
Zhao, Sendong, et al.. (2024). Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19126–19134. 3 indexed citations
4.
Chen, Yuhan, et al.. (2024). From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. Proceedings of the AAAI Conference on Artificial Intelligence. 38(20). 21958–21966. 2 indexed citations
5.
Chen, Yuhan, et al.. (2024). AS-ES Learning: Towards efficient CoT learning in small models. 10686–10697.
6.
Zhao, Sendong, et al.. (2024). MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 18144–18152. 3 indexed citations
7.
Zhao, Sendong, Muyan Cai, Ming Ma, et al.. (2024). Probing the Dual Logic Ability of Privatized Medical-Domain LLMs. 3182–3187.
8.
Zhao, Sendong, et al.. (2023). Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making. 1101–1112. 2 indexed citations
9.
Zhao, Sendong, et al.. (2023). UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. 13277–13291. 8 indexed citations
10.
Chen, Yan, Jing Liu, Sendong Zhao, et al.. (2023). Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. 5039–5048. 2 indexed citations
11.
Zhao, Sendong, et al.. (2021). Understanding Patient Query With Weak Supervision From Doctor Response. IEEE Journal of Biomedical and Health Informatics. 26(6). 2770–2777. 5 indexed citations
12.
Zhang, Heng, et al.. (2021). Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension. 1102–1113. 2 indexed citations
13.
Qin, Libo, et al.. (2021). A Co-Interactive Transformer for Joint Slot Filling and Intent Detection. 8193–8197. 94 indexed citations
14.
15.
Wang, Shaolei, Zhongyuan Wang, Wanxiang Che, Sendong Zhao, & Ting Liu. (2021). Combining Self-supervised Learning and Active Learning for Disfluency Detection. ACM Transactions on Asian and Low-Resource Language Information Processing. 21(3). 1–25. 4 indexed citations
16.
Zhao, Sendong, Meng Jiang, Bing Qin, et al.. (2020). Structural and Textual Information Fusion for Symptom and Disease Representation Learning. IEEE Transactions on Knowledge and Data Engineering. 34(9). 4468–4483. 4 indexed citations
17.
Zhao, Sendong, Chang Su, Zhiyong Lu, & Fei Wang. (2020). Recent advances in biomedical literature mining. Briefings in Bioinformatics. 22(3). 70 indexed citations
18.
Zhao, Sendong, et al.. (2019). Interactive Attention for Semantic Text Matching.. arXiv (Cornell University). 1 indexed citations
19.
Zhao, Sendong, Ting Liu, Sicheng Zhao, & Fei Wang. (2019). A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 817–824. 74 indexed citations
20.
Zhao, Sendong, Quan Wang, Sean Massung, et al.. (2017). Constructing and Embedding Abstract Event Causality Networks from Text Snippets. 335–344. 40 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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