Diandian Chen

52 total papers · 437 total citations
28 papers, 307 citations indexed

About

Diandian Chen is a scholar working on Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine and Polymers and Plastics. According to data from OpenAlex, Diandian Chen has authored 28 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Polymers and Plastics. Recurrent topics in Diandian Chen's work include Conducting polymers and applications (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Perovskite Materials and Applications (5 papers). Diandian Chen is often cited by papers focused on Conducting polymers and applications (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Perovskite Materials and Applications (5 papers). Diandian Chen collaborates with scholars based in China, United States and South Korea. Diandian Chen's co-authors include Yong Ma, Zhidong Zhao, Yi Luo, Lei Yang, Dezhi Wang, Yihang Yang, Aokui Sun, Xiaoying Wang, Gaoyong Lin and Hari Bala and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and Electrochimica Acta.

In The Last Decade

Diandian Chen

27 papers receiving 304 citations

Author Peers

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

Author Last Decade Papers Cites
Diandian Chen 68 66 58 46 43 28 307
Yi-Ting Lee 55 0.8× 56 0.8× 29 0.5× 15 0.3× 17 0.4× 19 333
Hao Lu 6 0.1× 77 1.2× 30 0.5× 35 0.8× 11 0.3× 53 336
Xian Ye 6 0.1× 136 2.1× 26 0.4× 83 1.8× 51 1.2× 38 363
Ziwei Zhao 61 0.9× 43 0.7× 4 0.1× 26 0.6× 45 1.0× 33 292
Feifei Lin 5 0.1× 75 1.1× 11 0.2× 27 0.6× 13 0.3× 29 332
Juan Liang 7 0.1× 50 0.8× 28 0.5× 8 0.2× 21 0.5× 50 297
Matthew Wang 45 0.7× 17 0.3× 14 0.2× 14 0.3× 5 0.1× 26 281
Parinaz Abiri 26 0.4× 197 3.0× 14 0.2× 94 2.0× 14 0.3× 20 361
Yao Chen 34 0.5× 59 0.9× 50 0.9× 7 0.2× 6 0.1× 17 297
Shaofan Wang 19 0.3× 73 1.1× 14 0.2× 49 1.1× 58 1.3× 21 342

Countries citing papers authored by Diandian Chen

Since Specialization
Citations

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

Fields of papers citing papers by Diandian Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diandian Chen

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026