Yanjun Ding

403 citations
15 papers · 347 · h-index 11

Impact in

Papers in

Yanjun Ding

15 papers receiving 342 citations

Peers

Yanjun Ding
Comparison fields: 5 of 79
  • Statistics, Probability and Uncertainty 50
  • Inorganic Chemistry 46
  • Computational Mechanics 42
  • Materials Chemistry 92
  • Mechanics of Materials 49
Replace Xin‐Yang Liu with:
Xin‐Yang Liu China
Martin Rupp Germany
Puneet Kumar Patra India
Atul Dubey United States
Xu Min China
Yifan Sun China
Milan Ambrožič Slovenia
Josiah Manson United States
K. Rama Krishna India
Conrad W. Rosenbrock United States
Yanjun Ding relative to Xin‐Yang Liu China Xin‐Yang Liu's profile →
Citations per field
00.5×5×10×12.5×
Xin‐Yang Liu · 1×
Citations per year

Countries citing papers authored by Yanjun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yanjun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yanjun Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yanjun Ding Line = papers co-authored together Yanjun Ding links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202175
2 201941
3 202132
4 200332
5 200530
6 202029
7 201825
8 201723
9 201616
10 202015
11 201614
12 20188
13 20173
14 19952
15 20242

About Yanjun Ding

Yanjun Ding is a scholar working on Molecular Biology, Biomedical Engineering, Computational Mechanics, Statistics, Probability and Uncertainty and Materials Chemistry, having authored 15 papers that have together received 347 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Advanced Numerical Analysis Techniques (3 papers), Biosensors and Analytical Detection (2 papers), Acoustic Wave Resonator Technologies (2 papers), Electrochemical Analysis and Applications (2 papers), Optical measurement and interference techniques (1 paper) and Supramolecular Chemistry and Complexes (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (50 citations), Inorganic Chemistry (46 citations), Computational Mechanics (42 citations), Materials Chemistry (92 citations) and Mechanics of Materials (49 citations). Yanjun Ding has collaborated with scholars based in China, United States and Luxembourg. Frequent co-authors include Chensen Ding, Kumar K. Tamma, Stéphane Bordas, Hua Wang, Ru‐Qin Yu, Guo‐Li Shen, Feihe Huang, Lukman O. Alimi, Basem Moosa and Guangyao Li. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Chemical Science, International Journal of Legal Medicine, Canadian Journal of Civil Engineering and Microchemical Journal.

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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