Christopher C. Yang

261 papers receiving 4k citations

Christopher C. Yang's Hit Papers

Explainable Artificial Intelligence for Predictive Modeling in Healthcare 2022 · 161 citations
1610+5+11Years since publication100200300

Peers

Christopher C. Yang
Comparison fields: 5 of 144
  • Health Informatics 111
  • Toxicology 222
  • Information Systems 1.1k
  • Artificial Intelligence 1.4k
  • Statistical and Nonlinear Physics 214
Replace Cécile L. Paris with:
Cécile L. Paris Australia
Ryen W. White United States
Yulan He United Kingdom
Evgeniy Gabrilovich United States
Vagelis Hristidis United States
Goran Nenadić United Kingdom
Qiaozhu Mei United States
Christophe G. Giraud-Carrier United States
Cui Tao United States
Edward Loper United States
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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 274 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Search Engines Information Retrieval in Practice
Hit paper breakdown →
2009340
2
Explainable Artificial Intelligence for Predictive Modeling in Healthcare
Hit paper breakdown →
2022161
3 2012113
4 2017109
5 2014102
6 200294
7 200994
8 200990
9 199874
10 200774
11 199873
12 200773
13 201461
14 201254
15 202153
16 201550
17 200049
18 200349
19 200649
20 201244

About Christopher C. Yang

Christopher C. Yang is a scholar working on Artificial Intelligence, Information Systems, Toxicology, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 274 papers that have together received 4.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (21 papers), Information Retrieval and Search Behavior (21 papers), Advanced Text Analysis Techniques (20 papers), Topic Modeling (16 papers), Pharmacovigilance and Adverse Drug Reactions (15 papers), Health Literacy and Information Accessibility (15 papers), Complex Network Analysis Techniques (14 papers) and Biomedical Text Mining and Ontologies (13 papers). The work is most often cited by research in Health Informatics (111 citations), Toxicology (222 citations), Information Systems (1.1k citations), Artificial Intelligence (1.4k citations) and Statistical and Nonlinear Physics (214 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, Xiaodong Shi, Tobun D. Ng, Fu Lee Wang, Ali Reza Jazayeri and Kuiyu Chang. Their work appears in journals such as Decision Support Systems, Artificial Intelligence in Medicine, Journal of Healthcare Informatics Research, ACM Transactions on Intelligent Systems and Technology and Journal of Medical Internet Research.

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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