Daqing He

4.1k citations
210 papers · 2.9k · h-index 25

Impact in

Papers in

    • Information Retrieval and Search Behavior 55
    • Expert finding and Q&A systems 40
    • Recommender Systems and Techniques 24
    • Web Data Mining and Analysis 24
    • Topic Modeling 41
    • Natural Language Processing Techniques 28
    • Semantic Web and Ontologies 28
    • Advanced Text Analysis Techniques 19

Daqing He

200 papers receiving 2.7k citations

Peers

Daqing He
Comparison fields: 5 of 122
  • Information Systems 1.5k
  • Computer Science Applications 289
  • Library and Information Sciences 65
  • Communication 312
  • Artificial Intelligence 1.3k
Replace Jaime Arguello with:
Jaime Arguello United States
Laura Granka United States
Pia Borlund Denmark
Peiling Wang United States
Stefano Mizzaro Italy
Monica Landoni Switzerland
Besiki Stvilia United States
Ian Ruthven United Kingdom
Isabella Peters Germany
Fábio Crestani Switzerland
Daqing He relative to Jaime Arguello United States Jaime Arguello's profile →
Citations per field
00.5×5.4×
Jaime Arguello · 1×
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 210 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017218
2 2007154
3 2002151
4 2020141
5 2014102
6 201675
7 201374
8 201970
9 201868
10 200754
11 200852
12 200051
13 202049
14 201849
15 201144
16 201541
17
Detecting session boundaries from Web user logs
200034
18 201532
19 202031
20 200828

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 210 papers that have together received 2.9k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (55 papers), Topic Modeling (41 papers), Expert finding and Q&A systems (40 papers), Natural Language Processing Techniques (28 papers), Semantic Web and Ontologies (28 papers), Recommender Systems and Techniques (24 papers), Web Data Mining and Analysis (24 papers) and Advanced Text Analysis Techniques (19 papers). The work is most often cited by research in Information Systems (1.5k citations), Computer Science Applications (289 citations), Library and Information Sciences (65 citations), Communication (312 citations) and Artificial Intelligence (1.3k 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, Ayşe Göker, Dan Wu, Zhen Yue, Rui Meng, Sanqiang Zhao and Jae‐wook Ahn. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, Information Processing & Management, Online Information Review, Journal of the Association for Information Science and Technology and The Electronic Library.

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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