Tianchen Qian

102 total papers · 1.5k total citations
35 papers, 1.0k citations indexed

About

Tianchen Qian is a scholar working on Statistics and Probability, Applied Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Tianchen Qian has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 10 papers in Applied Psychology and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Tianchen Qian's work include Advanced Causal Inference Techniques (9 papers), Statistical Methods and Bayesian Inference (8 papers) and Digital Mental Health Interventions (7 papers). Tianchen Qian is often cited by papers focused on Advanced Causal Inference Techniques (9 papers), Statistical Methods and Bayesian Inference (8 papers) and Digital Mental Health Interventions (7 papers). Tianchen Qian collaborates with scholars based in United States, United Kingdom and Belgium. Tianchen Qian's co-authors include Peter Lawrence, Reto Stöckli, David M. Lawrence, Zong‐Liang Yang, Keith W. Oleson, Robert E. Dickinson, Aiguo Dai, Samuel Levis, Peter Thornton and Guo‐Yue Niu and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Tianchen Qian

30 papers receiving 983 citations

Hit Papers

Improvements to the Commu... 2008 2026 2014 2020 2008 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Tianchen Qian 516 371 179 130 113 35 1.0k
Katie Smith 394 0.8× 83 0.2× 361 2.0× 12 0.1× 116 1.0× 44 1.2k
Johnny Wei‐Bing Lin 418 0.8× 404 1.1× 7 0.0× 39 0.3× 30 0.3× 24 949
Jürgen Schmidt 59 0.1× 42 0.1× 67 0.4× 95 0.7× 231 2.0× 78 1.1k
Kristen Guirguis 615 1.2× 480 1.3× 62 0.3× 14 0.1× 107 0.9× 38 1.0k
Mark D. Risser 757 1.5× 632 1.7× 139 0.8× 8 0.1× 72 0.6× 49 1.1k
Kai Yu 403 0.8× 197 0.5× 80 0.4× 14 0.1× 204 1.8× 24 907
Craig Mahoney 251 0.5× 63 0.2× 28 0.2× 35 0.3× 332 2.9× 32 865
Jeanette Reyes 270 0.5× 151 0.4× 10 0.1× 5 0.0× 156 1.4× 19 1.1k
Edward Armstrong 524 1.0× 479 1.3× 14 0.1× 32 0.2× 24 0.2× 45 1.1k
Ting Ding 854 1.7× 695 1.9× 56 0.3× 6 0.0× 102 0.9× 63 1.1k

Countries citing papers authored by Tianchen Qian

Since Specialization
Citations

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

Fields of papers citing papers by Tianchen Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianchen Qian

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