Yitong Yin

102 total papers · 741 total citations
37 papers, 255 citations indexed

About

Yitong Yin is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Yitong Yin has authored 37 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 21 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Yitong Yin's work include Markov Chains and Monte Carlo Methods (21 papers), Stochastic processes and statistical mechanics (10 papers) and Bayesian Modeling and Causal Inference (8 papers). Yitong Yin is often cited by papers focused on Markov Chains and Monte Carlo Methods (21 papers), Stochastic processes and statistical mechanics (10 papers) and Bayesian Modeling and Causal Inference (8 papers). Yitong Yin collaborates with scholars based in China, United States and United Kingdom. Yitong Yin's co-authors include Weiming Feng, Michael J. Fischer, Shenghao Yang, Baoliu Ye, Liang Li, Pinyan Lu, Bin Tang, Sanglu Lu, James Aspnes and Daniel Štefankovič and has published in prestigious journals such as Journal of the ACM, SIAM Journal on Computing and Probability Theory and Related Fields.

In The Last Decade

Yitong Yin

32 papers receiving 246 citations

Author Peers

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

Author						Papers	Cites
Yitong Yin	134	95	66	61	46	37	255
Matthieu Jonckheere	176 1.3×	33 0.3×	20 0.3×	32 0.5×	158 3.4×	45	298
Marcos Kiwi	40 0.3×	21 0.2×	165 2.5×	53 0.9×	17 0.4×	36	290
Russell Martin	49 0.4×	70 0.7×	53 0.8×	51 0.8×	4 0.1×	18	154
Alexandre Stauffer	64 0.5×	47 0.5×	13 0.2×	79 1.3×	12 0.3×	34	185
Viresh Patel	39 0.3×	62 0.7×	23 0.3×	43 0.7×	95 2.1×	36	267
Alfredo Viola	65 0.5×	12 0.1×	146 2.2×	56 0.9×	16 0.3×	28	266
Yash Deshpande	38 0.3×	67 0.7×	56 0.8×	6 0.1×	29 0.6×	27	178
Conrado Martı́nez	74 0.6×	14 0.1×	146 2.2×	38 0.6×	14 0.3×	32	272
Antar Bandyopadhyay	31 0.2×	82 0.9×	40 0.6×	119 2.0×	6 0.1×	18	207
C. C. Y. Dorea	22 0.2×	66 0.7×	82 1.2×	35 0.6×	12 0.3×	44	232

Countries citing papers authored by Yitong Yin

Since Specialization

Citations

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

Fields of papers citing papers by Yitong Yin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yitong Yin

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