Daqing He

4.0k citations
186 papers · 2.3k · h-index 23

Impact in

Papers in

    • Information Retrieval and Search Behavior 50
    • Expert finding and Q&A systems 34
    • Web Data Mining and Analysis 22
    • Recommender Systems and Techniques 19
    • Topic Modeling 36
    • Semantic Web and Ontologies 25
    • Natural Language Processing Techniques 22
    • Advanced Text Analysis Techniques 19

Daqing He

175 papers receiving 2.2k citations

Peers

Daqing He
Comparison fields: 5 of 124
  • Information Systems 1.2k
  • Computer Science Applications 233
  • Library and Information Sciences 57
  • Communication 262
  • Artificial Intelligence 1.0k
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Peiling Wang United States
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Citations per field
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Citations per year

Countries citing papers authored by Daqing He

Since Specialization
Citations

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

Fields of papers citing papers by Daqing He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daqing He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daqing He Line = papers co-authored together Daqing He links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017175
2 2002134
3 2020123
4 2007117
5 201494
6 201669
7 201367
8 201964
9 201860
10 200843
11 200741
12 202038
13 201138
14
Detecting session boundaries from Web user logs
200034
15 201832
16 201531
17 202028
18 201528
19 201224
20 201524

About Daqing He

Daqing He is a scholar working on Information Systems, Artificial Intelligence, Communication, Computer Science Applications and Management Science and Operations Research, having authored 186 papers that have together received 2.3k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (50 papers), Topic Modeling (36 papers), Expert finding and Q&A systems (34 papers), Semantic Web and Ontologies (25 papers), Natural Language Processing Techniques (22 papers), Web Data Mining and Analysis (22 papers), Advanced Text Analysis Techniques (19 papers) and Recommender Systems and Techniques (19 papers). The work is most often cited by research in Information Systems (1.2k citations), Computer Science Applications (233 citations), Library and Information Sciences (57 citations), Communication (262 citations) and Artificial Intelligence (1.0k citations). Daqing He has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Peter Brusilovsky, Jiepu Jiang, Wei Jeng, Shuguang Han, Dan Wu, Ayşe Göker, Rui Meng, Zhen Yue, Sanqiang Zhao and David J. Harper. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, Information Processing & Management, The Electronic Library, Journal of the Association for Information Science and Technology and Online Information Review.

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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