Peng Ding

1.0k total citations
49 papers, 759 citations indexed

About

Peng Ding is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanical Engineering. According to data from OpenAlex, Peng Ding has authored 49 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Mechanics, 9 papers in Computational Theory and Mathematics and 9 papers in Mechanical Engineering. Recurrent topics in Peng Ding's work include Neurobiology and Insect Physiology Research (5 papers), Heat Transfer and Optimization (5 papers) and Computational Drug Discovery Methods (5 papers). Peng Ding is often cited by papers focused on Neurobiology and Insect Physiology Research (5 papers), Heat Transfer and Optimization (5 papers) and Computational Drug Discovery Methods (5 papers). Peng Ding collaborates with scholars based in China and United States. Peng Ding's co-authors include Hung–Hsiang Yu, Yisheng He, Tzumin Lee, Jun Xu, Jui‐Chun Kao, Chih-Fei Kao, Takeshi Awasaki, Qiong Gu, Jacob S. Yang and Huihao Zhou and has published in prestigious journals such as Bioinformatics, The Journal of Comparative Neurology and Current Biology.

In The Last Decade

Peng Ding

48 papers receiving 750 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peng Ding China	15	250	239	104	79	75	49	759
Ken’ichi Yano Japan	14	307 1.2×	104 0.4×	55 0.5×	27 0.3×	72 1.0×	122	907
Akira Sato Japan	13	649 2.6×	290 1.2×	18 0.2×	42 0.5×	59 0.8×	80	1.3k
Ye Yan China	23	250 1.0×	116 0.5×	32 0.3×	247 3.1×	27 0.4×	112	1.5k
Bin Guo China	18	264 1.1×	35 0.1×	16 0.2×	118 1.5×	99 1.3×	77	1.0k
Yuan Zhang China	23	554 2.2×	104 0.4×	42 0.4×	42 0.5×	19 0.3×	154	1.9k
Youping Zhang China	20	324 1.3×	105 0.4×	22 0.2×	388 4.9×	26 0.3×	79	1.1k
Songjie Wang United States	18	113 0.5×	44 0.2×	64 0.6×	19 0.2×	13 0.2×	57	1.1k
Mingxing Zhou China	19	203 0.8×	26 0.1×	120 1.2×	65 0.8×	13 0.2×	48	992
Bruno da Silva Belgium	14	283 1.1×	292 1.2×	11 0.1×	50 0.6×	45 0.6×	87	1.1k

Countries citing papers authored by Peng Ding

Since Specialization

Citations

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

Fields of papers citing papers by Peng Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Ding

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

Ding, Peng, Wenhui Cao, Qi Ding, et al.. (2023). A quantitative analysis on the rheological characteristics of polyurea thickeners with the geometry of helical fiber and nanotube. Journal of Industrial and Engineering Chemistry. 124. 232–239. 9 indexed citations

Zhang, Hui, et al.. (2022). The accuracy of D-dimer in the diagnosis of periprosthetic infections: a systematic review and meta-analysis. Journal of Orthopaedic Surgery and Research. 17(1). 99–99. 17 indexed citations

Chen, Ziyang, Zizhen Zhang, Yali Li, et al.. (2020). Discovery of new LXRβ agonists as glioblastoma inhibitors. European Journal of Medicinal Chemistry. 194. 112240–112240. 20 indexed citations

Feng, Qian, et al.. (2020). Alprostadil alleviates myocardial fibrosis in rats with diabetes mellitus through TGF-β1/Smad signaling pathway. PubMed. 45(3). 270–273. 3 indexed citations

Chen, Ziyang, Hao Chen, Zizhen Zhang, et al.. (2020). Discovery of novel liver X receptor inverse agonists as lipogenesis inhibitors. European Journal of Medicinal Chemistry. 206. 112793–112793. 23 indexed citations

Zhang, Zizhen, Hao Chen, Ziyang Chen, et al.. (2019). Identify liver X receptor β modulator building blocks by developing a fluorescence polarization-based competition assay. European Journal of Medicinal Chemistry. 178. 458–467. 9 indexed citations

Du, Juan, et al.. (2019). Global interference detection technology for five-axis machining of complex surfaces. The International Journal of Advanced Manufacturing Technology. 102(9-12). 4273–4287. 6 indexed citations

Ding, Peng, et al.. (2019). Accelerating phase-field modeling of solidification with a parallel adaptive computational domain approach. International Communications in Heat and Mass Transfer. 111. 104452–104452. 4 indexed citations

Qiao, Shaojie, et al.. (2018). Handover detection approach based on trajectory data mining techniques. The Journal of Engineering. 2018(16). 1534–1537. 2 indexed citations

10.

Gibbs, Mary B., Caixia Long, Anna Kim, et al.. (2018). Transcriptional Regulation of Lipophorin Receptors Supports Neuronal Adaptation to Chronic Elevations of Activity. Cell Reports. 25(5). 1181–1192.e4. 11 indexed citations

11.

Cai, Hao-Bin, Xin Yan, Peng Ding, et al.. (2018). The Mechanisms of Bushen-Yizhi Formula as a Therapeutic Agent against Alzheimer’s Disease. Scientific Reports. 8(1). 3104–3104. 44 indexed citations

12.

Ding, Peng & Dongliang Sun. (2015). Resolution of Unknown Heat Source Inverse Heat Conduction Problems Using Particle Swarm Optimization. Numerical Heat Transfer Part B Fundamentals. 68(2). 158–168. 16 indexed citations

13.

Yu, Hung–Hsiang, Takeshi Awasaki, Mark Schroeder, et al.. (2013). Clonal Development and Organization of the Adult Drosophila Central Brain. Current Biology. 23(8). 633–643. 115 indexed citations

14.

Sun, Dongliang, Jinliang Xu, & Peng Ding. (2013). Performance Analysis and Application of Three Different Computational Methods for Solar Heating System with Seasonal Water Tank Heat Storage. Advances in Mechanical Engineering. 5. 5 indexed citations

15.

Ding, Peng, Minghai Xu, & Dongliang Sun. (2012). Estimation of Unknown Inlet Temperature Profile Using an Improved Gbest-PSO. Journal of information science and engineering. 28(1). 67–82. 2 indexed citations

16.

Yu, Hung–Hsiang, et al.. (2010). A Complete Developmental Sequence of a Drosophila Neuronal Lineage as Revealed by Twin-Spot MARCM. PLoS Biology. 8(8). e1000461–e1000461. 103 indexed citations

17.

Liu, Wanjun, et al.. (2010). Research of compound operation optimization based on Partheno Genetic Algorithm. 2010 3rd International Conference on Biomedical Engineering and Informatics. 35. 2945–2948. 2 indexed citations

18.

Ding, Peng & W. Q. Tao. (2009). An inverse analysis for the estimation of boundary heat flux in a circular pipe employing the proper orthogonal decomposition. Progress in Computational Fluid Dynamics An International Journal. 9(3/4/5). 231–231. 3 indexed citations

19.

Ding, Peng, Xuehong Wu, Ya‐Ling He, & Wen‐Quan Tao. (2008). A Fast and Efficient Method for Predicting Fluid Flow and Heat Transfer Problems. Journal of Heat Transfer. 130(3). 49 indexed citations

20.

Ding, Peng. (2000). Minimum-Weight Generators for Generalized Reed-Muller Codes. Physiology & Behavior. 83(3). 483–94. 1 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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