Chi Chang

36 total papers · 715 total citations
20 papers, 451 citations indexed

About

Chi Chang is a scholar working on Statistics and Probability, Computer Networks and Communications and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chi Chang has authored 20 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 3 papers in Computer Networks and Communications and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chi Chang's work include Statistical Methods and Inference (3 papers), Advanced Causal Inference Techniques (3 papers) and Psychometric Methodologies and Testing (3 papers). Chi Chang is often cited by papers focused on Statistical Methods and Inference (3 papers), Advanced Causal Inference Techniques (3 papers) and Psychometric Methodologies and Testing (3 papers). Chi Chang collaborates with scholars based in United States, United Kingdom and Germany. Chi Chang's co-authors include Binbin Zheng, Chin‐Hsi Lin, Mark Warschauer, George A. Marcoulides, Tenko Raykov, Yining Zhang, M. Lee Van Horn, Thomas Jaki, Hwan Chung and Yan-Liang Yu and has published in prestigious journals such as Journal of Consulting and Clinical Psychology, Pain and Review of Educational Research.

In The Last Decade

Chi Chang

18 papers receiving 438 citations

Author Peers

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

Author						Papers	Cites
Chi Chang	175	71	70	60	51	20	451
Antero Malin	309 1.8×	30 0.4×	139 2.0×	77 1.3×	58 1.1×	21	541
Derar Serhan	266 1.5×	104 1.5×	38 0.5×	39 0.7×	78 1.5×	19	425
Tse-Chi Hsu	96 0.5×	27 0.4×	54 0.8×	51 0.8×	49 1.0×	23	436
Mary Pommerich	177 1.0×	25 0.4×	61 0.9×	23 0.4×	37 0.7×	30	535
Miguel Ángel Montero Alonso	193 1.1×	49 0.7×	28 0.4×	53 0.9×	52 1.0×	39	510
Jay Blanchard	181 1.0×	33 0.5×	179 2.6×	42 0.7×	27 0.5×	46	511
Douglas R. Glasnapp	223 1.3×	26 0.4×	114 1.6×	29 0.5×	20 0.4×	29	463
Dennis D. Kerkman	231 1.3×	20 0.3×	118 1.7×	81 1.4×	25 0.5×	21	442
Antony Fielding	170 1.0×	17 0.2×	44 0.6×	115 1.9×	37 0.7×	25	545
Rhoda Cummings	276 1.6×	45 0.6×	84 1.2×	90 1.5×	28 0.5×	29	525

Countries citing papers authored by Chi Chang

Since Specialization

Citations

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

Fields of papers citing papers by Chi Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chi Chang. A scholar is included among the top collaborators of Chi 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 Chi Chang. Chi 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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