Dingfan Zhang

729 total citations · 1 hit paper
11 papers, 410 citations indexed

About

Dingfan Zhang is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Dingfan Zhang has authored 11 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Electrical and Electronic Engineering and 2 papers in Computational Theory and Mathematics. Recurrent topics in Dingfan Zhang's work include Organic Electronics and Photovoltaics (3 papers), Organic Light-Emitting Diodes Research (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Dingfan Zhang is often cited by papers focused on Organic Electronics and Photovoltaics (3 papers), Organic Light-Emitting Diodes Research (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Dingfan Zhang collaborates with scholars based in China, Switzerland and Singapore. Dingfan Zhang's co-authors include Boyang Wang, Shao Li, Wuai Zhou, Tingyu Zhang, Peng Zhang, Lan Wang, Juan Qiao, Lidan Wang, Yankun Li and Peng Wei and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Dingfan Zhang

8 papers receiving 403 citations

Hit Papers

Network pharmacology: towards the artificial intelligence... 2023 2026 2024 2025 2023 50 100 150 200
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.

  1. Network pharmacology: towards the artificial intelligence-based precision traditional Chinese medicine
    2023 249 citations Peng Zhang, Dingfan Zhang et al. Briefings in Bioinformatics profile →

Peers

Dingfan Zhang
Candong Li China
Jiawei Han China
Qing‐Ya Li China
Zhenhao Tian China
Yufan Fan China
Hsin‐Yu Ho Taiwan
Huanghe Yu China
Leila Zamani Iran
Ruifeng Zeng China
Cong Bi United States
Candong Li China
Dingfan Zhang
Citations per year, relative to Dingfan Zhang Dingfan Zhang (= 1×) peers Candong Li

Countries citing papers authored by Dingfan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Dingfan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingfan Zhang

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

All Works

11 of 11 papers shown
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Zhang, Dingfan, et al.. (2025). Network pharmacology: Advancing the application of large language models in traditional Chinese medicine research. SHILAP Revista de lepidopterología. 3(2). 113–123. 1 indexed citations
5.
Wang, Boyang, et al.. (2024). Elucidating the role of artificial intelligence in drug development from the perspective of drug-target interactions. Journal of Pharmaceutical Analysis. 15(3). 101144–101144. 17 indexed citations
6.
Zhang, Peng, Dingfan Zhang, Wuai Zhou, et al.. (2023). Network pharmacology: towards the artificial intelligence-based precision traditional Chinese medicine. Briefings in Bioinformatics. 25(1). 249 indexed citations breakdown →
7.
Wang, Boyang, et al.. (2023). Uncovering the mechanisms of Yi Qi Tong Qiao Pill in the treatment of allergic rhinitis based on Network target analysis. Chinese Medicine. 18(1). 88–88. 7 indexed citations
8.
Feng, Min, Lei Gao, Shixuan Du, et al.. (2007). Observation of Structural and Conductance Transition of Rotaxane Molecules at a Submolecular Scale. Advanced Functional Materials. 17(5). 770–776. 28 indexed citations
9.
Qiu, Yiheng, Peng Wei, Dingfan Zhang, et al.. (2006). Novel Naphtho[2,3‐c][1,2,5]thiadiazole Derivative for Non‐doped Small Molecular Organic Red‐Light‐Emitting Diodes. Advanced Materials. 18(12). 1607–1611. 58 indexed citations
10.
Wang, Hongfan, et al.. (2006). Efficient single-active-layer organic light-emitting diodes with fluoropolymer buffer layers. Applied Physics Letters. 88(13). 10 indexed citations
11.
Zhou, Jiahong, Bowu Zhang, Yue Cao, et al.. (2002). 1,3-Diphenyl-5-(9-phenanthryl)-4,5-dihydro-1H-pyrazole (DPPhP): structure, properties, and application in organic light-emitting diodes. Journal of Materials Chemistry. 12(12). 3481–3486. 40 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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