Xiaohua Ren

32 total papers · 641 total citations
23 papers, 517 citations indexed

About

Xiaohua Ren is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Materials Chemistry. According to data from OpenAlex, Xiaohua Ren has authored 23 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 10 papers in Computer Graphics and Computer-Aided Design and 7 papers in Materials Chemistry. Recurrent topics in Xiaohua Ren's work include Computer Graphics and Visualization Techniques (10 papers), Surface Treatment and Residual Stress (5 papers) and 3D Shape Modeling and Analysis (4 papers). Xiaohua Ren is often cited by papers focused on Computer Graphics and Visualization Techniques (10 papers), Surface Treatment and Residual Stress (5 papers) and 3D Shape Modeling and Analysis (4 papers). Xiaohua Ren collaborates with scholars based in China, Macao and United States. Xiaohua Ren's co-authors include K.M. Chen, Y.K. Zhang, Kaiyu Luo, Guifang Sun, Jianzhong Zhou, C.Y. Cui, Yu Gu, Ao Feng, Jinzhong Lu and Yufan Jiang and has published in prestigious journals such as Acta Materialia, Materials Science and Engineering A and Combustion and Flame.

In The Last Decade

Xiaohua Ren

20 papers receiving 504 citations

Author Peers

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

Author						Papers	Cites
Xiaohua Ren	456	273	192	154	53	23	517
Zhibin An	368 0.8×	181 0.7×	100 0.5×	101 0.7×	27 0.5×	25	453
D. Karthik	462 1.0×	186 0.7×	150 0.8×	175 1.1×	62 1.2×	19	498
Sören Keller	446 1.0×	205 0.8×	168 0.9×	148 1.0×	59 1.1×	24	489
Weiwei Deng	475 1.0×	226 0.8×	83 0.4×	124 0.8×	36 0.7×	14	508
Z.D. Wang	425 0.9×	216 0.8×	114 0.6×	228 1.5×	34 0.6×	13	506
Jiaxuan Chi	553 1.2×	235 0.9×	67 0.3×	119 0.8×	22 0.4×	15	581
Masaki Yoda	435 1.0×	142 0.5×	246 1.3×	135 0.9×	123 2.3×	28	510
Xinlong Wei	374 0.8×	196 0.7×	76 0.4×	163 1.1×	21 0.4×	36	465
Shikun Zou	439 1.0×	231 0.8×	164 0.9×	148 1.0×	31 0.6×	32	482
Gary R. Halford	468 1.0×	177 0.6×	85 0.4×	320 2.1×	22 0.4×	37	561

Countries citing papers authored by Xiaohua Ren

Since Specialization

Citations

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

Fields of papers citing papers by Xiaohua Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohua Ren

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