Joseph Chee Chang

57 total papers · 1.0k total citations
20 papers, 354 citations indexed

About

Joseph Chee Chang is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Joseph Chee Chang has authored 20 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Information Systems and 8 papers in Computer Science Applications. Recurrent topics in Joseph Chee Chang's work include Mobile Crowdsensing and Crowdsourcing (8 papers), Personal Information Management and User Behavior (5 papers) and Topic Modeling (4 papers). Joseph Chee Chang is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (8 papers), Personal Information Management and User Behavior (5 papers) and Topic Modeling (4 papers). Joseph Chee Chang collaborates with scholars based in United States, Taiwan and Canada. Joseph Chee Chang's co-authors include Aniket Kittur, Saleema Amershi, Ece Kamar, Nathan Hahn, Jieun Kim, Adam Perer, Tom Hope, Dafna Shahaf, Joel Chan and Amy X. Zhang and has published in prestigious journals such as Proceedings of the ACM on Human-Computer Interaction, arXiv (Cornell University) and PubMed.

In The Last Decade

Joseph Chee Chang

19 papers receiving 348 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joseph Chee Chang 169 165 101 66 64 20 354
Pavel Kucherbaev 162 1.0× 225 1.4× 54 0.5× 44 0.7× 44 0.7× 8 367
Eddy Maddalena 192 1.1× 205 1.2× 146 1.4× 36 0.5× 30 0.5× 31 396
Marko Ranković 98 0.6× 111 0.7× 91 0.9× 26 0.4× 31 0.5× 18 377
Martijn Millecamp 157 0.9× 73 0.4× 109 1.1× 49 0.7× 30 0.5× 17 336
Austin Z. Henley 125 0.7× 131 0.8× 176 1.7× 43 0.7× 89 1.4× 28 371
Daniel Alexander Smith 152 0.9× 46 0.3× 139 1.4× 120 1.8× 74 1.2× 26 391
Siamak Faridani 104 0.6× 148 0.9× 86 0.9× 49 0.7× 16 0.3× 10 324
Warren Sack 95 0.6× 122 0.7× 137 1.4× 44 0.7× 30 0.5× 21 381
Michelle Bachler 90 0.5× 76 0.5× 127 1.3× 29 0.4× 38 0.6× 22 307
Wayne Citrin 91 0.5× 58 0.4× 109 1.1× 84 1.3× 27 0.4× 39 355

Countries citing papers authored by Joseph Chee Chang

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Chee Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph Chee Chang. 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 Joseph Chee Chang. The network helps show where Joseph Chee Chang may publish in the future.

Co-authorship network of co-authors of Joseph Chee Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Chee Chang. A scholar is included among the top collaborators of Joseph Chee Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joseph Chee Chang. Joseph Chee Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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