Christopher C. Yang

5.9k citations
294 papers · 4.4k · h-index 33

Impact in

    • Web Data Mining and Analysis
    • Advanced Text Analysis Techniques
    • Topic Modeling
    • Sentiment Analysis and Opinion Mining
    • Natural Language Processing Techniques
    • Text and Document Classification Technologies

Papers in

    • Advanced Text Analysis Techniques 37
    • Topic Modeling 36
    • Natural Language Processing Techniques 31
    • Text and Document Classification Technologies 16
    • Semantic Web and Ontologies 16
    • Web Data Mining and Analysis 40

Christopher C. Yang

279 papers receiving 4.1k citations

Peers

Christopher C. Yang
Comparison fields: 5 of 163
  • Information Systems 1.3k
  • Artificial Intelligence 1.8k
  • Toxicology 169
  • Health Informatics 69
  • Statistical and Nonlinear Physics 479
Replace Cécile Paris with:
Cécile Paris Australia
Nigel Collier Japan
Daniel Zeng China
Sophia Ananiadou United Kingdom
Ryen W. White United States
Ahmed Abbasi United States
Steven Bird Australia
Edward Loper United States
W. Nick Street United States
John Yen United States
Christopher C. Yang relative to Cécile Paris Australia Cécile Paris's profile →
Citations per field
00.5×2×3.3×
Cécile Paris · 1×
Citations per year

Countries citing papers authored by Christopher C. Yang

Since Specialization
Citations

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

Fields of papers citing papers by Christopher C. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher C. Yang. 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 Christopher C. Yang. The network helps show where Christopher C. Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 294 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009341
2 2022142
3 2012111
4 2017109
5 2014103
6 2002101
7 200997
8 200986
9 200775
10 199874
11 200772
12 199870
13 201464
14 201253
15 202152
16 200350
17 200050
18 200650
19 201549
20 199845

About Christopher C. Yang

Christopher C. Yang is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 294 papers that have together received 4.4k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (40 papers), Advanced Text Analysis Techniques (37 papers), Complex Network Analysis Techniques (37 papers), Topic Modeling (36 papers), Natural Language Processing Techniques (31 papers), Biomedical Text Mining and Ontologies (19 papers), Text and Document Classification Technologies (16 papers) and Semantic Web and Ontologies (16 papers). The work is most often cited by research in Information Systems (1.3k citations), Artificial Intelligence (1.8k citations), Toxicology (169 citations), Health Informatics (69 citations) and Statistical and Nonlinear Physics (479 citations). Christopher C. Yang has collaborated with scholars based in United States, Hong Kong and Taiwan. Frequent co-authors include Xuning Tang, Ling Jiang, Chih‐Ping Wei, Haodong Yang, Hsinchun Chen, Fu Lee Wang, Xiaodong Shi, Tobun D. Ng, Marshall Ramsey and Kuiyu Chang. Their work appears in journals such as Decision Support Systems, Journal of Medical Internet Research, Artificial Intelligence in Medicine, ACM Transactions on Intelligent Systems and Technology and Information Processing & Management.

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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