Fang Wu

4.4k total citations · 1 hit paper
60 papers, 2.8k citations indexed

About

Fang Wu is a scholar working on Materials Chemistry, Management Science and Operations Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Fang Wu has authored 60 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 12 papers in Management Science and Operations Research and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Fang Wu's work include Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (8 papers) and Game Theory and Applications (7 papers). Fang Wu is often cited by papers focused on Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (8 papers) and Game Theory and Applications (7 papers). Fang Wu collaborates with scholars based in United States, China and France. Fang Wu's co-authors include Bernardo A. Huberman, Daniel M. Romero, Lada A. Adamic, Joshua R. Tyler, Shengming Xu, Linyan Li, Yuqing Wen, Samuel Schacher, Li Zhang and Bernardo A. Huberman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Fang Wu

56 papers receiving 2.6k citations

Hit Papers

Social networks that matter: Twitter under the microscope 2008 2026 2014 2020 2008 200 400 600
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. Social networks that matter: Twitter under the microscope
    2008 613 citations Bernardo A. Huberman, Fang Wu et al. First Monday profile →

Peers

Fang Wu
Philipp Geyer Germany
Ke Xu China
Yunjie Xu China
Meng Ma China
Martin Hilbert United States
Brendan O’Connor United States
Sean Goggins United States
Tinggui Chen China
Huaping Chen China
Mimi Zhang China
Philipp Geyer Germany
Fang Wu
Citations per year, relative to Fang Wu Fang Wu (= 1×) peers Philipp Geyer

Countries citing papers authored by Fang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Wu. A scholar is included among the top collaborators of Fang Wu 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 Fang Wu. Fang Wu 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.
Wu, Fang, et al.. (2025). Super-resolution of 3D medical images by generative adversarial networks with long and short-term memory and attention. Scientific Reports. 15(1). 20828–20828. 1 indexed citations
2.
Wu, Fang, Gaobin Liu, Shufang Zhang, et al.. (2024). Rational design of OH-functionalized Ti2CTx nanosheets and composite aerogel spheres: A highly efficient approach for U(VI) removal from simulated seawater. Journal of Water Process Engineering. 67. 106091–106091. 7 indexed citations
3.
Wu, Fang, Siyuan Li, & Stan Z. Li. (2024). Discovering the Representation Bottleneck of Graph Neural Networks. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7998–8008. 1 indexed citations
4.
Wang, Longyue, et al.. (2024). Interformer: an interaction-aware model for protein-ligand docking and affinity prediction. Nature Communications. 15(1). 10223–10223. 13 indexed citations
5.
Kong, Shihan, Fang Wu, Hao Liu, et al.. (2024). Bio-Inspired Optimization Algorithm Associated with Reinforcement Learning for Multi-Objective Operating Planning in Radioactive Environment. Biomimetics. 9(7). 438–438. 1 indexed citations
6.
Cao, Yiping, et al.. (2024). Dynamic phase-differencing profilometry with number-theoretical phase unwrapping and interleaved projection. Optics Express. 32(11). 19578–19578. 39 indexed citations
7.
8.
Cui, Jiyu, Fang Wu, Lifeng Yang, et al.. (2023). Direct prediction of gas adsorption via spatial atom interaction learning. Nature Communications. 14(1). 7043–7043. 30 indexed citations
9.
Wu, Fang, Nicolas Courty, Shuting Jin, & Stan Z. Li. (2023). Improving molecular representation learning with metric learning-enhanced optimal transport. Patterns. 4(4). 100714–100714. 3 indexed citations
10.
Cui, Jiyu, Fang Wu, Wen Zhang, et al.. (2023). Direct prediction of gas adsorption via spatial atom interaction learning. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
11.
Wu, Fang, Shuting Jin, Yinghui Jiang, et al.. (2022). Pre‐Training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding. Advanced Science. 9(33). e2203796–e2203796. 27 indexed citations
12.
Wu, Fang & Bernardo A. Huberman. (2009). A persistence paradox. First Monday. 2 indexed citations
13.
Wu, Fang, Dennis M. Wilkinson, & Bernardo A. Huberman. (2009). Feedback Loops of Attention in Peer Production. SSRN Electronic Journal. 2 indexed citations
14.
Wu, Fang & Bernardo A. Huberman. (2007). Novelty and collective attention. Proceedings of the National Academy of Sciences. 104(45). 17599–17601. 389 indexed citations
15.
Huberman, Bernardo A., Li Zhang, & Fang Wu. (2004). Games and Queues.
16.
Wu, Fang, et al.. (2001). Tribological behavior of hot-pressed boron carbide with oxidation. Journal of Central South University of Technology. 8(2). 89–93. 3 indexed citations
17.
Wu, Fang, Hong Zhang, Michael J. Lalor, & David R. Burton. (2001). A novel design for fiber optic interferometric fringe projection phase-shifting 3-D profilometry. Optics Communications. 187(4-6). 347–357. 28 indexed citations
18.
Luo, G. S. & Fang Wu. (2000). Concentration of Formic Acid Solution by Electro-electrodialysis. Separation Science and Technology. 35(15). 2485–2496. 21 indexed citations
19.
Wu, Fang, et al.. (1999). Changes in functional glutamate receptors on a postsynaptic neuron accompany formation and maturation of an identified synapse. Journal of Neurobiology. 39(2). 237–248. 32 indexed citations
20.
Moses, E & Fang Wu. (1980). Amplification and phase conjugation by degenerate four-wave mixing in a saturable absorber. Optics Letters. 5(2). 64–64. 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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