Di Chen

1.2k total citations
42 papers, 800 citations indexed

About

Di Chen is a scholar working on Molecular Biology, Physiology and Artificial Intelligence. According to data from OpenAlex, Di Chen has authored 42 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Physiology and 8 papers in Artificial Intelligence. Recurrent topics in Di Chen's work include Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (4 papers) and Catalytic C–H Functionalization Methods (3 papers). Di Chen is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (4 papers) and Catalytic C–H Functionalization Methods (3 papers). Di Chen collaborates with scholars based in China, United States and Hong Kong. Di Chen's co-authors include Q. Ping Dou, Linan Ma, Malathy P.V. Shekhar, Yogesh Patil, Jayanth Panyam, Ayman Khdair, Peng Lu, Weiping Zheng, Yan‐Hong Jiang and Lingling Yan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Current Biology.

In The Last Decade

Di Chen

41 papers receiving 786 citations

Peers

Di Chen
Comparison fields: 5 of 121
  • Molecular Biology 240
  • Biomedical Engineering 182
  • Organic Chemistry 102
  • Pulmonary and Respiratory Medicine 98
  • Biomaterials 95
Replace Tian Xie with:
Tian Xie China
Chi Meng China
Filipa S. Carvalho Portugal
Anju Sharma India
Yimin Chen China
Lisa Flammini Italy
Agnieszka Korga-Plewko Poland
Jianming Li China
Philip Chaikin United States
Lijun Zhong China
Tian Xie China View profile →
Citations per field, relative to Di Chen
Di Chen · 1×
Citations per year, relative to Di Chen
Di Chen · 1×

Countries citing papers authored by Di Chen

Since Specialization
Citations

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

Fields of papers citing papers by Di Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Di Chen. A scholar is included among the top collaborators of Di 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 Di Chen. Di Chen 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
# Work Indexed citations
1 2
2 3
3 6
4 7
5 2
6
Reporting and Methods in Developing Prognostic Prediction Models for Metabolic Syndrome: A Systematic Review and Critical Appraisal
2
7 12
8 1
9 49
10 2
11
End-to-End Learning for the Deep Multivariate Probit Model
3
12 34
13 8
14 18
15 12
16 76
17 48
18 11
19 17
20 228

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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