Shangbin Feng

97 total papers · 1.1k total citations
28 papers, 294 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 28 papers receiving a total of 294 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 Natural Language Processing Techniques (10 papers), Topic Modeling (10 papers) and Misinformation and Its Impacts (8 papers). Shangbin Feng is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (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, Hu Zhang and Huarui Zhang 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

21 papers receiving 290 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shangbin Feng	150	111	67	53	52	28	294
Young D. Kwon	127 0.8×	41 0.4×	35 0.5×	20 0.4×	19 0.4×	25	342
Komal Kapoor	77 0.5×	131 1.2×	18 0.3×	20 0.4×	19 0.4×	22	290
Debin Liu	127 0.8×	122 1.1×	29 0.4×	29 0.5×	73 1.4×	32	354
Xiaoxiao Ma	141 0.9×	95 0.9×	82 1.2×	17 0.3×	80 1.5×	29	365
J. A. M. Salter	59 0.4×	163 1.5×	23 0.3×	20 0.4×	65 1.3×	14	283
Graham Steel	120 0.8×	109 1.0×	19 0.3×	34 0.6×	93 1.8×	40	297
Sungchan Park	98 0.7×	136 1.2×	18 0.3×	27 0.5×	49 0.9×	31	342
Minsu Kim	83 0.6×	67 0.6×	34 0.5×	39 0.7×	95 1.8×	38	332
Roy Lindelauf	51 0.3×	42 0.4×	115 1.7×	12 0.2×	57 1.1×	29	337
Xiaoming Zhang	119 0.8×	38 0.3×	29 0.4×	16 0.3×	60 1.2×	45	327

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

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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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