Zhichun Guo

845 total citations
12 papers, 251 citations indexed

About

Zhichun Guo is a scholar working on Molecular Biology, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Zhichun Guo has authored 12 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Artificial Intelligence and 4 papers in Materials Chemistry. Recurrent topics in Zhichun Guo's work include Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (3 papers) and Topic Modeling (3 papers). Zhichun Guo is often cited by papers focused on Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (3 papers) and Topic Modeling (3 papers). Zhichun Guo collaborates with scholars based in United States, Sweden and Hong Kong. Zhichun Guo's co-authors include Nitesh V. Chawla, Chuxu Zhang, Olaf Wiest, Abigail G. Doyle, Zhihan Zhang, Meng Jiang, Per‐Ola Norrby, Wenhao Yu, A. Zuranski and Thierry Kogej and has published in prestigious journals such as Chemical Science, World Wide Web and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Zhichun Guo

10 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhichun Guo United States 8 99 90 87 63 34 12 251
Shufang Xie China 14 107 1.1× 121 1.3× 108 1.2× 119 1.9× 14 0.4× 39 368
P. Balamurugan India 8 77 0.8× 41 0.5× 71 0.8× 23 0.4× 22 0.6× 70 296
Dávid Lányi Switzerland 5 217 2.2× 210 2.3× 83 1.0× 126 2.0× 25 0.7× 5 370
Yuquan Li China 11 156 1.6× 218 2.4× 87 1.0× 205 3.3× 12 0.4× 25 415
Brian Belgodere United States 5 126 1.3× 144 1.6× 52 0.6× 105 1.7× 27 0.8× 7 289
Axel J. Soto Canada 11 35 0.4× 93 1.0× 107 1.2× 71 1.1× 44 1.3× 37 298
Jiacheng Xiong China 6 112 1.1× 152 1.7× 47 0.5× 102 1.6× 3 0.1× 10 273
José Ignacio Abreu Cuba 9 59 0.6× 108 1.2× 129 1.5× 161 2.6× 23 0.7× 35 391
Inkit Padhi United States 7 138 1.4× 161 1.8× 250 2.9× 125 2.0× 25 0.7× 15 501
Yisong Yue United States 3 41 0.4× 39 0.4× 113 1.3× 18 0.3× 66 1.9× 4 230

Countries citing papers authored by Zhichun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Zhichun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhichun Guo

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

All Works

12 of 12 papers shown
1.
Huang, Yi, Zhichun Guo, Payel Das, et al.. (2025). Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond. 10445–10454. 1 indexed citations
2.
3.
Zhang, Zhihan, Wenhao Yu, Mengxia Yu, Zhichun Guo, & Meng Jiang. (2023). A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. 943–956. 35 indexed citations
4.
Saebi, Mandana, John E. Herr, Zhichun Guo, et al.. (2023). On the use of real-world datasets for reaction yield prediction. Chemical Science. 14(19). 4997–5005. 80 indexed citations
5.
Guo, Zhichun, et al.. (2023). Boosting Graph Neural Networks via Adaptive Knowledge Distillation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7793–7801. 20 indexed citations
6.
Guo, Zhichun, Yijun Tian, Yihong Ma, et al.. (2023). Graph-based Molecular Representation Learning. 6638–6646. 35 indexed citations
7.
Gerard, Patrick D., et al.. (2022). Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 1481–1490. 17 indexed citations
8.
Zhang, Chuxu, et al.. (2022). Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 3473–3479. 9 indexed citations
9.
Tian, Yijun, Chuxu Zhang, Zhichun Guo, et al.. (2022). RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 3466–3472. 17 indexed citations
10.
Yu, Wenhao, Chenguang Zhu, Tong Zhao, Zhichun Guo, & Meng Jiang. (2021). Sentence-Permuted Paragraph Generation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 5051–5062.
11.
Guo, Zhichun, Wenhao Yu, Chuxu Zhang, Meng Jiang, & Nitesh V. Chawla. (2020). GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. 435–443. 34 indexed citations
12.
Gong, Qingyuan, Yang Chen, Zhichun Guo, et al.. (2018). Exploring the power of social hub services. World Wide Web. 22(6). 2825–2852. 3 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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2026