Chong Chu

2.1k total citations · 1 hit paper
29 papers, 1.0k citations indexed

About

Chong Chu is a scholar working on Molecular Biology, Food Science and Genetics. According to data from OpenAlex, Chong Chu has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Food Science and 7 papers in Genetics. Recurrent topics in Chong Chu's work include Food Safety and Hygiene (7 papers), Chromosomal and Genetic Variations (7 papers) and Genomics and Phylogenetic Studies (6 papers). Chong Chu is often cited by papers focused on Food Safety and Hygiene (7 papers), Chromosomal and Genetic Variations (7 papers) and Genomics and Phylogenetic Studies (6 papers). Chong Chu collaborates with scholars based in United States, China and United Kingdom. Chong Chu's co-authors include Yongming Han, Zhiqiang Geng, Xiaorong Yang, Shaowei Sang, Tongchao Zhang, Hui Chen, Peter J. Park, Xiangwei Zhang, Ning Ding and Soohyun Lee and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Chong Chu

29 papers receiving 997 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The global burden of disease attributable to ambient fine particulate matter in 204 countries and territories, 1990–2019: A systematic analysis of the Global Burden of Disease Study 2019

2022 170 citations Shaowei Sang, Chong Chu et al. Ecotoxicology and Environmental Safety profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chong Chu United States	19	261	187	116	96	86	29	1.0k
Yubao Chen China	22	288 1.1×	258 1.4×	83 0.7×	146 1.5×	25 0.3×	180	2.0k
Xiaohui Li China	16	210 0.8×	211 1.1×	244 2.1×	198 2.1×	195 2.3×	106	1.3k
Yaqiong Chen China	19	361 1.4×	88 0.5×	79 0.7×	44 0.5×	22 0.3×	70	1.5k
Yong‐Ju Lee South Korea	15	195 0.7×	60 0.3×	192 1.7×	23 0.2×	119 1.4×	69	1.0k
Miao Ye China	22	344 1.3×	71 0.4×	387 3.3×	261 2.7×	44 0.5×	72	1.5k
Qiangfeng Wang China	17	349 1.3×	43 0.2×	167 1.4×	14 0.1×	45 0.5×	33	950
Zhiqi Lin China	17	163 0.6×	56 0.3×	41 0.4×	233 2.4×	42 0.5×	37	1.2k
Qing Yu China	22	91 0.3×	59 0.3×	42 0.4×	116 1.2×	131 1.5×	117	1.5k
Yunchao Zhang China	17	295 1.1×	93 0.5×	212 1.8×	19 0.2×	981 11.4×	49	1.9k
Henrik Spliid Denmark	16	73 0.3×	336 1.8×	24 0.2×	49 0.5×	130 1.5×	40	938

Countries citing papers authored by Chong Chu

Since Specialization

Citations

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

Fields of papers citing papers by Chong Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chong Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Chong Chu. A scholar is included among the top collaborators of Chong Chu 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 Chong Chu. Chong Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Solovyov, Alexander, Julie M. Behr, David Hoyos, et al.. (2025). Pan-cancer multi-omic model of LINE-1 activity reveals locus heterogeneity of retrotransposition efficiency. Nature Communications. 16(1). 2049–2049. 3 indexed citations

Geng, Zhiqiang, et al.. (2024). Biogas production prediction model of food waste anaerobic digestion for energy optimization using mixup data augmentation-based global attention mechanism. Environmental Science and Pollution Research. 31(6). 9121–9134. 6 indexed citations

Lee, Jake June-Koo, Youngsook L. Jung, Taek-Chin Cheong, et al.. (2023). ERα-associated translocations underlie oncogene amplifications in breast cancer. Nature. 618(7967). 1024–1032. 62 indexed citations

Geng, Zhiqiang, et al.. (2023). Novel IAPSO-LSTM neural network for risk analysis and early warning of food safety. Expert Systems with Applications. 230. 120747–120747. 17 indexed citations

Chu, Chong, Eric W. Lin, Hu Jin, et al.. (2023). The landscape of human SVA retrotransposons. Nucleic Acids Research. 51(21). 11453–11465. 12 indexed citations

Han, Yongming, Jiaxin Liu, Jiatong Li, et al.. (2023). Novel risk assessment model of food quality and safety considering physical-chemical and pollutant indexes based on coefficient of variance integrating entropy weight. The Science of The Total Environment. 877. 162730–162730. 24 indexed citations

Geng, Zhiqiang, Xiaoyan Duan, Jiatong Li, Chong Chu, & Yongming Han. (2022). Risk prediction model for food safety based on improved random forest integrating virtual sample. Engineering Applications of Artificial Intelligence. 116. 105352–105352. 38 indexed citations

Sang, Shaowei, Chong Chu, Tongchao Zhang, Hui Chen, & Xiaorong Yang. (2022). The global burden of disease attributable to ambient fine particulate matter in 204 countries and territories, 1990–2019: A systematic analysis of the Global Burden of Disease Study 2019. Ecotoxicology and Environmental Safety. 238. 113588–113588. 170 indexed citations breakdown →

Lin, Xiaoyong, et al.. (2021). Dynamic risk assessment of food safety based on an improved hidden Markov model integrating cuckoo search algorithm: A sterilized milk study. Journal of Food Process Engineering. 44(3). 18 indexed citations

10.

Geng, Zhiqiang, et al.. (2021). Risk early warning of food safety using novel long short-term memory neural network integrating sum product based analytic hierarchy process. British Food Journal. 124(3). 898–914. 22 indexed citations

11.

Chu, Chong, Rebeca Borges-Monroy, Vinay Viswanadham, et al.. (2021). Comprehensive identification of transposable element insertions using multiple sequencing technologies. Nature Communications. 12(1). 3836–3836. 51 indexed citations

12.

Borges-Monroy, Rebeca, Chong Chu, Caroline Dias, et al.. (2021). Whole-genome analysis reveals the contribution of non-coding de novo transposon insertions to autism spectrum disorder. Mobile DNA. 12(1). 28–28. 21 indexed citations

13.

Han, Yongming, et al.. (2021). Energy supply efficiency evaluation of integrated energy systems using novel SBM-DEA integrating Monte Carlo. Energy. 231. 120834–120834. 46 indexed citations

14.

Wang, Su, Soohyun Lee, Chong Chu, et al.. (2020). HiNT: a computational method for detecting copy number variations and translocations from Hi-C data. Genome biology. 21(1). 49 indexed citations

15.

Geng, Zhiqiang, et al.. (2020). Static and dynamic energy structure analysis in the world for resource optimization using total factor productivity method based on slacks-based measure integrating data envelopment analysis. Energy Conversion and Management. 228. 113713–113713. 48 indexed citations

16.

Jain, Dhawal, Chong Chu, B. Alver, et al.. (2020). HiTea: a computational pipeline to identify non-reference transposable element insertions in Hi-C data. Bioinformatics. 37(8). 1045–1051. 5 indexed citations

17.

Kwon, Min‐Seok, Soohyun Lee, Michele Berselli, Chong Chu, & Peter J. Park. (2020). BamSnap: a lightweight viewer for sequencing reads in BAM files. Bioinformatics. 37(2). 263–264. 5 indexed citations

18.

Han, Yongming, et al.. (2019). Food quality and safety risk assessment using a novel HMM method based on GRA. Food Control. 105. 180–189. 41 indexed citations

19.

Chu, Chong, et al.. (2018). CLADES: A classification‐based machine learning method for species delimitation from population genetic data. Molecular Ecology Resources. 18(5). 1144–1156. 16 indexed citations

20.

Li, Xin, et al.. (2018). CircMarker: a fast and accurate algorithm for circular RNA detection. BMC Genomics. 19(S6). 572–572. 24 indexed citations

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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