Shangbin Feng

1.1k total citations
30 papers, 318 citations indexed

About

Shangbin Feng is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Shangbin Feng has authored 30 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 10 papers in Information Systems and 8 papers in Sociology and Political Science. Recurrent topics in Shangbin Feng's work include Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Misinformation and Its Impacts (8 papers). Shangbin Feng is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Misinformation and Its Impacts (8 papers). Shangbin Feng collaborates with scholars based in United States, China and Mexico. Shangbin Feng's co-authors include Minnan Luo, Zhaoxuan Tan, Yulia Tsvetkov, Yuhan Liu, Rui Li, Qinghua Zheng, Jundong Li, Herun Wan, Zhenyu Lei and Bin Kong and has published in prestigious journals such as Materials Science and Engineering A, Transactions of the Association for Computational Linguistics and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Shangbin Feng

25 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shangbin Feng United States 9 155 123 71 63 62 30 318
Zhigang Yuan China 14 500 3.2× 119 1.0× 56 0.8× 32 0.5× 30 0.5× 26 615
Komal Kapoor India 8 76 0.5× 131 1.1× 19 0.3× 19 0.3× 20 0.3× 22 291
Xiaoxiao Ma China 10 146 0.9× 97 0.8× 83 1.2× 81 1.3× 17 0.3× 30 372
Yuan Lin China 13 324 2.1× 193 1.6× 19 0.3× 10 0.2× 17 0.3× 49 484
Chuanyi Li China 10 173 1.1× 159 1.3× 14 0.2× 41 0.7× 22 0.4× 42 393
José Gaviria de la Puerta Spain 8 122 0.8× 78 0.6× 50 0.7× 44 0.7× 58 0.9× 16 238
Chunyuan Yuan China 7 261 1.7× 147 1.2× 165 2.3× 18 0.3× 31 0.5× 24 376
Michael S. Kirkpatrick United States 9 119 0.8× 84 0.7× 70 1.0× 64 1.0× 41 0.7× 30 248
Atishay Jain India 7 111 0.7× 152 1.2× 186 2.6× 16 0.3× 43 0.7× 17 252
Masao Ohira Japan 11 62 0.4× 368 3.0× 11 0.2× 100 1.6× 72 1.2× 29 436

Countries citing papers authored by Shangbin Feng

Since Specialization
Citations

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

Fields of papers citing papers by Shangbin Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangbin Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Shangbin Feng. A scholar is included among the top collaborators of Shangbin Feng 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 Shangbin Feng. Shangbin Feng 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.
Feng, Shangbin, Yejin Choi, Douglas Fisher, et al.. (2025). Biased LLMs can Influence Political Decision-Making. 6559–6607. 1 indexed citations
3.
4.
Feng, Shangbin, Weijia Shi, Yike Wang, et al.. (2024). Teaching LLMs to Abstain across Languages via Multilingual Feedback. 4125–4150. 3 indexed citations
5.
6.
Feng, Shangbin, Herun Wan, Ningnan Wang, et al.. (2024). What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection. 3580–3601. 8 indexed citations
7.
Wan, Herun, et al.. (2024). DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. 2637–2667. 13 indexed citations
8.
Zhang, Yizhuo, Shangbin Feng, Zhaoxuan Tan, et al.. (2024). Can LLM Graph Reasoning Generalize beyond Pattern Memorization?. 2289–2305. 3 indexed citations
9.
10.
Tan, Zhaoxuan, et al.. (2023). KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion. 2548–2559. 31 indexed citations
11.
Wang, Heng, Wenqian Zhang, Zhaoxuan Tan, et al.. (2023). Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks. 16035–16050.
12.
Feng, Shangbin, et al.. (2023). FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. 933–952. 4 indexed citations
13.
Feng, Shangbin, et al.. (2023). Can Language Models Solve Graph Problems in Natural Language?. 30840–30861. 1 indexed citations
14.
Tan, Zhaoxuan, et al.. (2023). BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. 485–495. 24 indexed citations
15.
Feng, Shangbin, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, & Yulia Tsvetkov. (2023). KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. 2116–2138. 4 indexed citations
16.
Lei, Zhenyu, Herun Wan, Shangbin Feng, et al.. (2023). BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency. 10326–10340. 16 indexed citations
17.
Tan, Zhaoxuan, Shangbin Feng, Herun Wan, et al.. (2023). BotPercent: Estimating Bot Populations in Twitter Communities. 14295–14312. 8 indexed citations
18.
Wan, Herun, et al.. (2022). GraTO. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 520–529. 4 indexed citations
19.
Feng, Shangbin, Zhaoxuan Tan, Rui Li, & Minnan Luo. (2022). Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 3977–3985. 52 indexed citations
20.
Jia, Lina, et al.. (2017). Artificial neural network application to microstructure design of Nb-Si alloy to improve ultimate tensile strength. Materials Science and Engineering A. 707. 452–458. 42 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhigang Yuan Breakdown of academic impact, for papers by Komal Kapoor Breakdown of academic impact, for papers by Xiaoxiao Ma Breakdown of academic impact, for papers by Yuan Lin Breakdown of academic impact, for papers by Chuanyi Li Breakdown of academic impact, for papers by José Gaviria de la Puerta Breakdown of academic impact, for papers by Chunyuan Yuan Breakdown of academic impact, for papers by Michael S. Kirkpatrick Breakdown of academic impact, for papers by Atishay Jain Breakdown of academic impact, for papers by Masao Ohira
Rankless by CCL
2026