Rongjing Hu

700 total citations
33 papers, 551 citations indexed

About

Rongjing Hu is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Rongjing Hu has authored 33 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistical and Nonlinear Physics, 12 papers in Molecular Biology and 12 papers in Artificial Intelligence. Recurrent topics in Rongjing Hu's work include Complex Network Analysis Techniques (14 papers), Bioinformatics and Genomic Networks (7 papers) and Opinion Dynamics and Social Influence (6 papers). Rongjing Hu is often cited by papers focused on Complex Network Analysis Techniques (14 papers), Bioinformatics and Genomic Networks (7 papers) and Opinion Dynamics and Social Influence (6 papers). Rongjing Hu collaborates with scholars based in China, France and United States. Rongjing Hu's co-authors include Ruisheng Zhang, Yongna Yuan, Michel Delamar, Fan Yang, Yabing Yao, Florent Barbault, Jianxin Tang, Zhili Zhao, Jean‐Pierre Doucet and Mengtian Li and has published in prestigious journals such as European Journal of Medicinal Chemistry, Applied Soft Computing and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Rongjing Hu

33 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rongjing Hu China 13 227 161 155 106 62 33 551
Qun Luo China 12 187 0.8× 102 0.6× 43 0.3× 13 0.1× 47 0.8× 26 544
Tianxi Li United States 11 117 0.5× 101 0.6× 92 0.6× 11 0.1× 7 0.1× 32 483
Monica Agrawal India 6 63 0.3× 447 2.8× 386 2.5× 381 3.6× 9 0.1× 22 970
Nidhi Arora India 11 21 0.1× 185 1.1× 117 0.8× 58 0.5× 98 1.6× 57 633
Haiwei Zhang China 11 21 0.1× 80 0.5× 163 1.1× 54 0.5× 19 0.3× 35 478
Víctor Martínez Spain 4 375 1.7× 310 1.9× 359 2.3× 160 1.5× 3 0.0× 7 676
Hao Lou United States 11 62 0.3× 101 0.6× 30 0.2× 36 0.3× 15 0.2× 29 412
Chee-Keong Kwoh Singapore 17 49 0.2× 1.2k 7.6× 224 1.4× 744 7.0× 32 0.5× 37 1.6k
Jose C. Nacher Japan 16 217 1.0× 535 3.3× 37 0.2× 145 1.4× 4 0.1× 44 815

Countries citing papers authored by Rongjing Hu

Since Specialization
Citations

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

Fields of papers citing papers by Rongjing Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rongjing Hu

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

All Works

20 of 20 papers shown
1.
2.
Hu, Rongjing, et al.. (2022). Recent Progress in Direct Catalytic C(sp3)—H Silylation Reactions. Chinese Journal of Organic Chemistry. 42(2). 323–323. 5 indexed citations
3.
Yuan, Jinliang, Ruisheng Zhang, Jianxin Tang, et al.. (2019). Efficient and effective influence maximization in large-scale social networks via two frameworks. Physica A Statistical Mechanics and its Applications. 526. 120966–120966. 5 indexed citations
4.
Li, Mengtian, Ruisheng Zhang, Rongjing Hu, et al.. (2018). Identifying and ranking influential spreaders in complex networks by combining a local-degree sum and the clustering coefficient. International Journal of Modern Physics B. 32(6). 1850118–1850118. 40 indexed citations
5.
Liu, Qidong, Ruisheng Zhang, Xin Liu, et al.. (2018). A novel clustering algorithm based on PageRank and minimax similarity. Neural Computing and Applications. 31(11). 7769–7780. 2 indexed citations
6.
Yuan, Yongna, Zhuangzhuang Zhang, Matthew J. L. Mills, Rongjing Hu, & Ruisheng Zhang. (2018). Assessing Force Field Potential Energy Function Accuracy via a Multipolar Description of Atomic Electrostatic Interactions in RNA. Journal of Chemical Information and Modeling. 58(11). 2239–2254. 4 indexed citations
7.
Liu, Qidong, et al.. (2018). An improved path-based clustering algorithm. Knowledge-Based Systems. 163. 69–81. 13 indexed citations
8.
Yao, Yabing, Ruisheng Zhang, Fan Yang, et al.. (2018). Link prediction in complex networks based on the interactions among paths. Physica A Statistical Mechanics and its Applications. 510. 52–67. 36 indexed citations
9.
Hu, Rongjing, et al.. (2017). The New Link Prediction Methods Based on Spectral Analysis. Lanzhou University Institutional Repository. 23. 106–112. 2 indexed citations
10.
Yang, Fan, Ruisheng Zhang, Zhao Yang, et al.. (2016). Identifying the most influential spreaders in complex networks by an Extended Local K-Shell Sum. International Journal of Modern Physics C. 28(1). 1750014–1750014. 31 indexed citations
11.
Zhang, Ruisheng, et al.. (2016). Using Deep Learning for Compound Selectivity Prediction. Current Computer - Aided Drug Design. 12(1). 5–14. 6 indexed citations
12.
Li, Yan, Michel Delamar, Patricia Busca, et al.. (2015). Molecular modeling study of the induced-fit effect on kinase inhibition: the case of fibroblast growth factor receptor 3 (FGFR3). Journal of Computer-Aided Molecular Design. 29(7). 619–641. 5 indexed citations
13.
Zhang, Ruisheng, et al.. (2014). Collaborative filtering: user similarity in Slope One algorithm. Lanzhou University Institutional Repository. 1 indexed citations
14.
Li, Yan, Florent Barbault, Michel Delamar, Ruisheng Zhang, & Rongjing Hu. (2013). Targeted molecular dynamics (TMD) of the full-length KcsA potassium channel: on the role of the cytoplasmic domain in the opening process. Journal of Molecular Modeling. 19(4). 1651–1666. 8 indexed citations
15.
Hu, Rongjing, Florent Barbault, François Maurel, Michel Delamar, & Ruisheng Zhang. (2010). Molecular Dynamics Simulations of 2‐Amino‐6‐arylsulphonylbenzonitriles Analogues as HIV Inhibitors: Interaction Modes and Binding Free Energies. Chemical Biology & Drug Design. 76(6). 518–526. 37 indexed citations
16.
Hu, Rongjing, Florent Barbault, Michel Delamar, & Ruisheng Zhang. (2009). Receptor- and ligand-based 3D-QSAR study for a series of non-nucleoside HIV-1 reverse transcriptase inhibitors. Bioorganic & Medicinal Chemistry. 17(6). 2400–2409. 60 indexed citations
17.
Gong, Zhiguo, Ruisheng Zhang, Binbin Xia, Rongjing Hu, & Botao Fan. (2008). Study of Nematic Transition Temperatures in Themotropic Liquid Crystal Using Heuristic Method and Radial Basis Function Neural Networks and Support Vector Machine. QSAR & Combinatorial Science. 27(11-12). 1282–1290. 11 indexed citations
18.
Hu, Rongjing, Jean‐Pierre Doucet, Michel Delamar, & Ruisheng Zhang. (2008). QSAR models for 2-amino-6-arylsulfonylbenzonitriles and congeners HIV-1 reverse transcriptase inhibitors based on linear and nonlinear regression methods. European Journal of Medicinal Chemistry. 44(5). 2158–2171. 49 indexed citations
19.
20.
Yuan, Yongna, Ruisheng Zhang, & Rongjing Hu. (2008). Prediction of Photolysis of PCDD/Fs Adsorbed to Spruce [Picea abies (L.) Karst.] Needle Surfaces Under Sunlight Irradiation Based on Projection Pursuit Regression. QSAR & Combinatorial Science. 28(2). 155–162. 4 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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