Tian Bian

1.2k total citations · 1 hit paper
10 papers, 866 citations indexed

About

Tian Bian is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Tian Bian has authored 10 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistical and Nonlinear Physics, 4 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Tian Bian's work include Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (5 papers) and Bioinformatics and Genomic Networks (3 papers). Tian Bian is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (5 papers) and Bioinformatics and Genomic Networks (3 papers). Tian Bian collaborates with scholars based in China, Hong Kong and United States. Tian Bian's co-authors include Yong Deng, Peilin Zhao, Yu Rong, Junzhou Huang, Tingyang Xu, Wenbing Huang, Xi Xiao, Haoyang Zheng, Likang Yin and Xin Wang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Physica A Statistical Mechanics and its Applications and Chaos Solitons & Fractals.

In The Last Decade

Tian Bian

9 papers receiving 845 citations

Hit Papers

Rumor Detection on Social Media with Bi-Directional Graph... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tian Bian China 7 373 353 350 225 153 10 866
Jiaxing Shang China 16 386 1.0× 46 0.1× 283 0.8× 152 0.7× 41 0.3× 68 818
Il‐Chul Moon South Korea 15 127 0.3× 111 0.3× 346 1.0× 196 0.9× 122 0.8× 90 860
Xinran He United States 12 505 1.4× 156 0.4× 401 1.1× 400 1.8× 160 1.0× 31 1.2k
Albert Xin Jiang United States 15 53 0.1× 72 0.2× 156 0.4× 74 0.3× 224 1.5× 51 676
Yuxian Du China 9 330 0.9× 28 0.1× 93 0.3× 40 0.2× 118 0.8× 11 622
Xun Liang China 15 226 0.6× 62 0.2× 507 1.4× 197 0.9× 190 1.2× 123 1.0k
Janusz Marecki United States 15 48 0.1× 76 0.2× 362 1.0× 111 0.5× 231 1.5× 38 993
Fabrizio Marozzo Italy 19 94 0.3× 120 0.3× 248 0.7× 347 1.5× 34 0.2× 71 949
Jianwei Wang China 20 1.0k 2.8× 131 0.4× 79 0.2× 42 0.2× 19 0.1× 58 1.4k
Juan Tejada Spain 12 95 0.3× 36 0.1× 190 0.5× 41 0.2× 338 2.2× 29 770

Countries citing papers authored by Tian Bian

Since Specialization
Citations

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

Fields of papers citing papers by Tian Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Bian

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

All Works

10 of 10 papers shown
1.
Xiao, Xi, et al.. (2025). A novel high-accuracy graph neural network-based rumor detection method. Engineering Applications of Artificial Intelligence. 162. 112329–112329.
2.
Tan, Jie, Yu Rong, Kangfei Zhao, et al.. (2024). Natural Language-Assisted Multi-modal Medication Recommendation. arXiv (Cornell University). 2200–2209. 1 indexed citations
3.
Bian, Tian, Yifan Niu, Heng Chang, et al.. (2024). Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 130–140. 2 indexed citations
4.
Wang, Xin, et al.. (2023). Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. IEEE Transactions on Knowledge and Data Engineering. 36(5). 2166–2178. 8 indexed citations
5.
Bian, Tian, Xi Xiao, Tingyang Xu, et al.. (2020). Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 34(1). 549–556. 435 indexed citations breakdown →
6.
Bian, Tian, Haoyang Zheng, Likang Yin, & Yong Deng. (2018). Failure mode and effects analysis based on D numbers and TOPSIS. Quality and Reliability Engineering International. 34(4). 501–515. 163 indexed citations
7.
Bian, Tian & Yong Deng. (2018). Identifying influential nodes in complex networks: A node information dimension approach. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(4). 43109–43109. 96 indexed citations
8.
Bian, Tian & Yong Deng. (2017). A new evidential methodology of identifying influential nodes in complex networks. Chaos Solitons & Fractals. 103. 101–110. 27 indexed citations
9.
Bian, Tian, et al.. (2017). Identifying influential nodes in complex networks based on AHP. Physica A Statistical Mechanics and its Applications. 479. 422–436. 108 indexed citations
10.
Yin, Likang, Haoyang Zheng, Tian Bian, & Yong Deng. (2017). An evidential link prediction method and link predictability based on Shannon entropy. Physica A Statistical Mechanics and its Applications. 482. 699–712. 26 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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