Oufan Zhang

938 citations
16 papers · 591 indexed · 2 hit papers · h-index 7
Topics
Protein Structure and Dynamics (11 papers)Enzyme Structure and Function (8 papers)Machine Learning in Materials Science (6 papers)

In The Last Decade

Oufan Zhang

16 papers receiving 581 citations

Hit Papers

ChatGPT Chemistry Assistant for Text Mining and the Predi...20232026202420252023202350100150200250

Peers

Oufan Zhang
Comparison fields: 5 of 88
  • Materials Chemistry 388
  • Molecular Biology 158
  • Inorganic Chemistry 120
  • Computational Theory and Mathematics 104
  • Artificial Intelligence 66
Replace Riley J. Hickman with:
Riley J. Hickman Canada
Daniil A. Boiko Russia
Jakob B. Wolf Germany
Sebastian Steiner Austria
Haoyan Huo United States
Oliver Schilter Switzerland
Shih‐Cheng Li Taiwan
Sam Cox United States
Amalie Trewartha United States
Dylan M. Anstine United States
Oufan Zhang relative to Riley J. Hickman Canada Riley J. Hickman's profile →
Citations per field
00.5×1.5×2.2×
Riley J. Hickman · 1×
Citations per year

Countries citing papers authored by Oufan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Oufan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oufan Zhang

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 1
3 4
4 6
5 2
6 1
7 26
8 3
9 5
10
ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesisbreakdown →
290
11
ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFsbreakdown →
88
12 8
13 39
14 6
15 18
16 93

About Oufan Zhang

Oufan Zhang is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Spectroscopy, having authored 16 papers that have together received 591 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (11 papers), Enzyme Structure and Function (8 papers) and Machine Learning in Materials Science (6 papers). The work is most often cited by research in Health Informatics (14 citations), Inorganic Chemistry (120 citations) and Materials Chemistry (388 citations). Oufan Zhang has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Omar M. Yaghi, Jennifer Chayes, Christian Borgs, Zhiling Zheng, Teresa Head‐Gordon, Jie Li, Mojtaba Haghighatlari, Julie D. Forman‐Kay, João M. C. Teixeira and Nakul Rampal. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Chemical Physics 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.

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