Cheng Ju

124 total papers · 1.3k total citations
37 papers, 697 citations indexed

About

Cheng Ju is a scholar working on Molecular Biology, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Cheng Ju has authored 37 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Statistics and Probability and 3 papers in Artificial Intelligence. Recurrent topics in Cheng Ju's work include Advanced Causal Inference Techniques (6 papers), Statistical Methods and Bayesian Inference (5 papers) and Statistical Methods and Inference (5 papers). Cheng Ju is often cited by papers focused on Advanced Causal Inference Techniques (6 papers), Statistical Methods and Bayesian Inference (5 papers) and Statistical Methods and Inference (5 papers). Cheng Ju collaborates with scholars based in China, United States and Saudi Arabia. Cheng Ju's co-authors include Mark van der Laan, Aurélien Bibaut, Mark J. van der Laan, Sebastian Schneeweiß, Richard Wyss, Jessica M. Franklin, Samuel Lendle, David Benkeser, Jingwen Ning and Meiyu Shang and has published in prestigious journals such as Biometrics, Carbohydrate Polymers and Optics Express.

In The Last Decade

Cheng Ju

35 papers receiving 680 citations

Author Peers

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

Author						Papers	Cites
Cheng Ju	153	126	84	82	70	37	697
Søren Feodor Nielsen	113 0.7×	174 1.4×	83 1.0×	29 0.4×	71 1.0×	35	787
Jian Zou	158 1.0×	64 0.5×	62 0.7×	50 0.6×	167 2.4×	48	762
Yi Yang	170 1.1×	207 1.6×	95 1.1×	39 0.5×	51 0.7×	43	639
Éric Matzner-Løber	193 1.3×	132 1.0×	33 0.4×	33 0.4×	31 0.4×	31	764
Xing He	361 2.4×	48 0.4×	62 0.7×	66 0.8×	36 0.5×	44	770
Zheng Chen	106 0.7×	65 0.5×	94 1.1×	49 0.6×	17 0.2×	63	694
Vanya Van Belle	194 1.3×	143 1.1×	94 1.1×	17 0.2×	29 0.4×	25	686
Gijs Geleijnse	252 1.6×	29 0.2×	43 0.5×	96 1.2×	19 0.3×	47	777
Yazhen Wang	59 0.4×	131 1.0×	124 1.5×	134 1.6×	91 1.3×	24	739
Roman Hornung	101 0.7×	56 0.4×	218 2.6×	20 0.2×	22 0.3×	33	686

Countries citing papers authored by Cheng Ju

Since Specialization

Citations

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

Fields of papers citing papers by Cheng Ju

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Ju

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