Rong She

1.8k total citations
14 papers, 442 citations indexed

About

Rong She is a scholar working on Molecular Biology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Rong She has authored 14 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Rong She's work include Machine Learning in Bioinformatics (5 papers), Genomics and Phylogenetic Studies (4 papers) and Cryptography and Data Security (2 papers). Rong She is often cited by papers focused on Machine Learning in Bioinformatics (5 papers), Genomics and Phylogenetic Studies (4 papers) and Cryptography and Data Security (2 papers). Rong She collaborates with scholars based in Canada, China and Hong Kong. Rong She's co-authors include Nansheng Chen, Ke Wang, Jeffrey Chu, Jian Pei, Jun Wang, Bora Uyar, Jennifer L. Gardy, Martin Ester, Fiona S. L. Brinkman and Fei Chen and has published in prestigious journals such as Bioinformatics, Genome Research and European Journal of Pharmacology.

In The Last Decade

Rong She

14 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rong She Canada	9	238	111	90	60	54	14	442
Alix Boc Canada	6	281 1.2×	107 1.0×	112 1.2×	22 0.4×	15 0.3×	8	513
Adriano Barbosa-Silva Germany	15	473 2.0×	70 0.6×	127 1.4×	79 1.3×	17 0.3×	26	708
Arnold Kuzniar Netherlands	9	251 1.1×	70 0.6×	93 1.0×	30 0.5×	32 0.6×	15	374
Supawadee Ingsriswang Thailand	13	202 0.8×	157 1.4×	26 0.3×	28 0.5×	20 0.4×	42	537
Patrick Flick United States	7	488 2.1×	226 2.0×	108 1.2×	53 0.9×	8 0.1×	13	848
Chris Schleiermacher Germany	6	426 1.8×	140 1.3×	106 1.2×	73 1.2×	9 0.2×	7	584
Kasper Dinkla Netherlands	7	264 1.1×	89 0.8×	57 0.6×	39 0.7×	9 0.2×	11	425
Hellis Tamm Estonia	5	227 1.0×	162 1.5×	99 1.1×	36 0.6×	4 0.1×	10	375
Bill Andreopoulos United States	12	348 1.5×	122 1.1×	26 0.3×	98 1.6×	42 0.8×	20	596
Isaac Ho United States	5	344 1.4×	93 0.8×	97 1.1×	25 0.4×	5 0.1×	6	500

Countries citing papers authored by Rong She

Since Specialization

Citations

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

Fields of papers citing papers by Rong She

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rong She

This figure shows the co-authorship network connecting the top 25 collaborators of Rong She. A scholar is included among the top collaborators of Rong She 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 Rong She. Rong She 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:

14 of 14 papers shown

1.

Zhang, Qian, Miao Guo, Tianyi Chen, et al.. (2022). Walking and taking vitamin C alleviates oxidative stress and inflammation in overweight students, even in the short-term. Frontiers in Public Health. 10. 1024864–1024864. 3 indexed citations

2.

She, Rong, et al.. (2021). L-theanine inhibits foam cell formation via promoting the scavenger receptor A degradation. European Journal of Pharmacology. 904. 174181–174181. 8 indexed citations

3.

Liu, Ziqi, et al.. (2021). Effect of Vegetation Restoration on Soil Hydrology in Karst Area of Southwest China: Inspiration from Barrel Planting Experiments. Water. 13(13). 1719–1719. 12 indexed citations

4.

Vergara, Ismael A., Maja Tarailo‐Graovac, Christian Frech, et al.. (2014). Genome-wide variations in a natural isolate of the nematode Caenorhabditis elegans. BMC Genomics. 15(1). 255–255. 45 indexed citations

5.

She, Rong, Jeffrey Chu, Bora Uyar, et al.. (2011). genBlastG: using BLAST searches to build homologous gene models. Bioinformatics. 27(15). 2141–2143. 80 indexed citations

6.

She, Rong, Jeffrey Chu, Ke Wang, & Nansheng Chen. (2010). Fast and Accurate Gene Prediction by Decision Tree Classification. 790–801. 1 indexed citations

7.

She, Rong, Jeffrey Chu, Ke Wang, Jian Pei, & Nansheng Chen. (2008). genBlastA: Enabling BLAST to identify homologous gene sequences. Genome Research. 19(1). 143–149. 204 indexed citations

8.

She, Rong, et al.. (2008). Computing Join Aggregates Over Private Tables. International Journal of Data Warehousing and Mining. 4(4). 22–41. 1 indexed citations

9.

Wang, Ke, Yabo Xu, Rong She, & Philip S. Yu. (2006). Classification spanning private databases. National Conference on Artificial Intelligence. 293–298. 8 indexed citations

10.

Xu, Yabo, Ke Wang, Ada Wai-Chee Fu, Rong She, & Jian Pei. (2006). Classification spanning correlated data streams. 132–132. 2 indexed citations

11.

Wang, Ke, Yabo Xu, Philip S. Yu, & Rong She. (2005). Building Decision Trees on Records Linked through Key References. 576–580. 4 indexed citations

12.

She, Rong, Ke Wang, Yabo Xu, & Philip S. Yu. (2005). Pushing Feature Selection ahead of Join. 536–540. 8 indexed citations

13.

She, Rong, Fei Chen, Ke Wang, et al.. (2003). Frequent-subsequence-based prediction of outer membrane proteins. 436–445. 48 indexed citations

14.

She, Rong, Fei Chen, Ke Wang, et al.. (2003). Frequent-subsequence-based prediction of outer membrane proteins. 18 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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