Daqing He
- Information Systems top 0.5%
- Information Retrieval and Search Behavior 50
- Expert finding and Q&A systems 34
- Web Data Mining and Analysis 22
- Recommender Systems and Techniques 19
- Communication top 2%
- Artificial Intelligence top 1%
- 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
Comparison fields: 5 of 124
- Information Systems 1.2k
- Computer Science Applications 233
- Library and Information Sciences 57
- Communication 262
- Artificial Intelligence 1.0k
Countries citing papers authored by Daqing He
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 8 | |
| 5 | 2020 | 28 | |
| 6 | Recommending Remedial Readings Using Student Knowledge State. | 2020 | 5 |
| 7 | Characterizing High-Quality Answers for Different Question Types on Academic Social Q&A Site. | 2019 | 3 |
| 8 | Generating Diverse Numbers of Diverse Keyphrases. | 2018 | 6 |
| 9 | 2018 | 1 | |
| 10 | 2016 | 3 | |
| 11 | Exploring Knowledge Learning in Collaborative Information Seeking Process. | 2016 | 6 |
| 12 | Exploring Factors Influencing K-12 Teachers Information-Seeking Behaviors on Educational Portals | 2013 | 1 |
| 13 | PITT at TREC 2013 Contextual Suggestion Track | 2013 | 2 |
| 14 | 2012 | 3 | |
| 15 | On Duplicate Results in a Search Session | 2012 | 6 |
| 16 | 2011 | 1 | |
| 17 | Pitt@TREC08: An Initial Study of Collaborative Information Behavior in E-Discovery | 2008 | 2 |
| 18 | DiLight: a Digital Library based E-Learning Environment for Learning Digital Libraries | 2006 | 5 |
| 19 | Pitt at TREC 2005: HARD and Enterprise | 2005 | 1 |
| 20 | iCLEF 2004 at Maryland: Summarization Design for Interactive Cross-Language Question Answering. | 2004 | 2 |
About Daqing He
Daqing He is a scholar working on Information Systems, Computer Science Applications and Communication, 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), Recommender Systems and Techniques (19 papers) and Advanced Text Analysis Techniques (19 papers). The work is most often cited by research in Information Systems (1.2k citations), Computer Science Applications (233 citations) and Library and Information Sciences (57 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, Sanqiang Zhao, Zhen Yue 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.