Huifeng Tang

10 total papers · 623 total citations
6 papers, 407 citations indexed

About

Huifeng Tang is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Huifeng Tang has authored 6 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Information Systems. Recurrent topics in Huifeng Tang's work include Sentiment Analysis and Opinion Mining (3 papers), Web Data Mining and Analysis (2 papers) and Advanced Text Analysis Techniques (2 papers). Huifeng Tang is often cited by papers focused on Sentiment Analysis and Opinion Mining (3 papers), Web Data Mining and Analysis (2 papers) and Advanced Text Analysis Techniques (2 papers). Huifeng Tang collaborates with scholars based in China. Huifeng Tang's co-authors include Songbo Tan, Xueqi Cheng, Gaowei Wu, Guodong Ding, Linhai Song, Yan Guo, Yu Wang, Ning Li, Liang Zhang and Xiaohong Chen and has published in prestigious journals such as Expert Systems with Applications and Translational Cancer Research.

In The Last Decade

Huifeng Tang

6 papers receiving 367 citations

Hit Papers

A survey on sentiment det... 2009 2026 2014 2020 2009 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Huifeng Tang 356 149 52 23 21 6 407
Tyler Neylon 407 1.1× 69 0.5× 46 0.9× 12 0.5× 24 1.1× 7 436
Huyen Trang Phan 310 0.9× 120 0.8× 78 1.5× 21 0.9× 28 1.3× 18 380
Jose Martin 322 0.9× 110 0.7× 73 1.4× 22 1.0× 22 1.0× 4 421
Johann Petrak 311 0.9× 92 0.6× 67 1.3× 28 1.2× 23 1.1× 15 395
Keith Stevens 328 0.9× 79 0.5× 62 1.2× 18 0.8× 37 1.8× 13 482
Luc Rocher 217 0.6× 86 0.6× 121 2.3× 33 1.4× 7 0.3× 7 470
Ganggao Zhu 309 0.9× 57 0.4× 35 0.7× 35 1.5× 18 0.9× 6 371
Mahmood Neshati 215 0.6× 271 1.8× 54 1.0× 13 0.6× 38 1.8× 20 383
Xinyu Song 309 0.9× 66 0.4× 36 0.7× 14 0.6× 10 0.5× 12 443
Ana Valdivia 275 0.8× 75 0.5× 154 3.0× 29 1.3× 19 0.9× 15 441

Countries citing papers authored by Huifeng Tang

Since Specialization
Citations

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

Fields of papers citing papers by Huifeng Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huifeng Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Huifeng Tang. A scholar is included among the top collaborators of Huifeng Tang 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 Huifeng Tang. Huifeng Tang 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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