Weize Kong

1.3k citations
21 papers · 292 · h-index 9

Impact in

    • Information Retrieval and Search Behavior
    • Web Data Mining and Analysis
    • Recommender Systems and Techniques
    • Expert finding and Q&A systems
    • Topic Modeling
    • Natural Language Processing Techniques

Papers in

    • Topic Modeling 10
    • Natural Language Processing Techniques 4
    • Text and Document Classification Technologies 2
    • Web Data Mining and Analysis 8
    • Information Retrieval and Search Behavior 8

Weize Kong

17 papers receiving 282 citations

Peers

Weize Kong
Comparison fields: 5 of 44
  • Information Systems 151
  • Artificial Intelligence 122
  • Computer Science Applications 17
  • Renewable Energy, Sustainability and the Environment 50
  • Information Systems and Management 20
Replace Hong Yul Yang with:
Hong Yul Yang New Zealand
Yi Pan China
Mingwei Zhang China
Jiajun Cheng China
Huaxiao Liu China
Jun Fujima Japan
Zhexuan Song United States
Markus Stolze United States
Bing Xie China
Stefan Berner Switzerland
Weize Kong relative to Hong Yul Yang New Zealand Hong Yul Yang's profile →
Citations per field
00.5×1.5×1.9×
Hong Yul Yang · 1×
Citations per year

Countries citing papers authored by Weize Kong

Since Specialization
Citations

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

Fields of papers citing papers by Weize Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Weize Kong, 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 Weize Kong Line = papers co-authored together Weize Kong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202363
2 201336
3 201233
4 201531
5 201430
6 201523
7 201221
8 201614
9 202214
10 20166
11 20244
12 20204
13 20234
14 20243
15 20243
16 20102
17 20131
18 20250
19 20230
20 20230

About Weize Kong

Weize Kong is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Renewable Energy, Sustainability and the Environment, having authored 21 papers that have together received 292 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Web Data Mining and Analysis (8 papers), Information Retrieval and Search Behavior (8 papers), Natural Language Processing Techniques (4 papers), Data Quality and Management (3 papers), Multimodal Machine Learning Applications (2 papers), Text and Document Classification Technologies (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Information Systems (151 citations), Artificial Intelligence (122 citations), Computer Science Applications (17 citations), Renewable Energy, Sustainability and the Environment (50 citations) and Information Systems and Management (20 citations). Weize Kong has collaborated with scholars based in United States, China and France. Frequent co-authors include James Allan, Aston Zhang, Yi Chang, Kexin Tang, Haiyang Shao, Ning Liu, Jianqiu Lei, Mengqi Tang, Fei Li and Michael Bendersky. Their work appears in journals such as ACM SIGIR Forum, ACM Transactions on the Web, Separation and Purification Technology, Journal of Evidence-Based Medicine and Research on Chemical Intermediates.

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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