Minqing Hu

11.2k total citations · 3 hit papers
12 papers, 7.3k citations indexed

About

Minqing Hu is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Minqing Hu has authored 12 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 6 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Minqing Hu's work include Advanced Text Analysis Techniques (6 papers), Sentiment Analysis and Opinion Mining (5 papers) and Web Data Mining and Analysis (4 papers). Minqing Hu is often cited by papers focused on Advanced Text Analysis Techniques (6 papers), Sentiment Analysis and Opinion Mining (5 papers) and Web Data Mining and Analysis (4 papers). Minqing Hu collaborates with scholars based in United States, Singapore and Canada. Minqing Hu's co-authors include Bing Liu, Bing Liu, Hans‐Arno Jacobsen, Francois Raab, Meikel Poess, Ahmad Ghazal, Tilmann Rabl, Alain Crolotte, Wynne Hsu and Bing Liu and has published in prestigious journals such as National Conference on Artificial Intelligence.

In The Last Decade

Minqing Hu

12 papers receiving 6.6k citations

Hit Papers

Mining and summarizing customer reviews 2004 2026 2011 2018 2004 2005 2004 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minqing Hu United States 10 6.2k 2.1k 1.2k 397 261 12 7.3k
Janyce Wiebe United States 45 11.0k 1.8× 1.7k 0.8× 933 0.8× 568 1.4× 325 1.2× 111 11.9k
Shivakumar Vaithyanathan United States 22 5.2k 0.8× 1.8k 0.9× 528 0.4× 320 0.8× 528 2.0× 45 6.2k
Ahmed Abbasi United States 31 2.1k 0.3× 1.3k 0.6× 770 0.6× 206 0.5× 369 1.4× 87 3.8k
Andrea Esuli Italy 23 4.5k 0.7× 1.2k 0.6× 557 0.5× 313 0.8× 222 0.9× 80 5.3k
Paolo Rosso Spain 41 6.0k 1.0× 1.8k 0.9× 1.1k 0.9× 205 0.5× 132 0.5× 339 7.1k
Ronen Feldman Israel 29 2.3k 0.4× 1.1k 0.5× 773 0.6× 175 0.4× 540 2.1× 76 4.5k
Theresa Wilson United States 26 6.0k 1.0× 1.1k 0.5× 671 0.5× 401 1.0× 210 0.8× 34 6.7k
Harith Alani United Kingdom 28 2.2k 0.4× 1.2k 0.6× 563 0.5× 223 0.6× 225 0.9× 132 3.2k
Hanna Wallach United States 26 3.0k 0.5× 748 0.4× 578 0.5× 351 0.9× 207 0.8× 67 4.9k
Kathleen McKeown United States 51 9.7k 1.6× 1.6k 0.8× 568 0.5× 323 0.8× 192 0.7× 311 11.1k

Countries citing papers authored by Minqing Hu

Since Specialization
Citations

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

Fields of papers citing papers by Minqing Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minqing Hu

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

All Works

12 of 12 papers shown
1.
Ghazal, Ahmad, Tilmann Rabl, Minqing Hu, et al.. (2013). BigBench. 1197–1208. 204 indexed citations
2.
Hu, Minqing, et al.. (2010). MySpace Video Recommendation with Map-Reduce on Qizmt. 126–133. 14 indexed citations
3.
Hu, Minqing & Bing Liu. (2006). Opinion extraction and summarization on the web. National Conference on Artificial Intelligence. 1621–1624. 83 indexed citations
4.
Hu, Minqing & Bing Liu. (2006). Opinion feature extraction using class sequential rules. National Conference on Artificial Intelligence. 61–66. 42 indexed citations
5.
Liu, Bing, et al.. (2005). Opinion observer. 342–342. 1041 indexed citations breakdown →
6.
Hu, Minqing & Bing Liu. (2004). Mining opinion features in customer reviews. National Conference on Artificial Intelligence. 755–760. 846 indexed citations breakdown →
7.
Hu, Minqing & Bing Liu. (2004). Mining and summarizing customer reviews. 168–177. 4941 indexed citations breakdown →
8.
Li, Xiaoli, et al.. (2002). Web Search Based on Micro Information Units. 1 indexed citations
9.
Li, Xiaoli, et al.. (2002). Using micro information units for internet search. 1 indexed citations
10.
Li, Xiaoli, et al.. (2002). Using micro information units for internet search. 566–573. 11 indexed citations
11.
Liu, Bing, Minqing Hu, & Wynne Hsu. (2000). Intuitive Representation of Decision Trees Using General Rules and Exceptions. National Conference on Artificial Intelligence. 615–620. 21 indexed citations
12.
Liu, Bing, Minqing Hu, & Wynne Hsu. (2000). Multi-level organization and summarization of the discovered rules. 208–217. 55 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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