Ling Kang

1.3k total citations
34 papers, 948 citations indexed

About

Ling Kang is a scholar working on Computational Theory and Mathematics, Molecular Biology and Mechanical Engineering. According to data from OpenAlex, Ling Kang has authored 34 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 9 papers in Molecular Biology and 7 papers in Mechanical Engineering. Recurrent topics in Ling Kang's work include Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (5 papers) and Advanced machining processes and optimization (5 papers). Ling Kang is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (5 papers) and Advanced machining processes and optimization (5 papers). Ling Kang collaborates with scholars based in China, Singapore and Canada. Ling Kang's co-authors include Hualiang Jiang, Weiliang Zhu, Xicheng Wang, Yang Cao, Yuan Gao, Shilong Wang, Honglin Li, Xiaofeng Liu, Hailei Zhang and Xiong‐Jian Luo and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Desalination.

In The Last Decade

Ling Kang

31 papers receiving 919 citations

Peers

Ling Kang
Comparison fields: 5 of 109
  • Computational Theory and Mathematics 475
  • Molecular Biology 466
  • Industrial and Manufacturing Engineering 157
  • Pharmacology 115
  • Organic Chemistry 108
Replace Zhixing Cao with:
Zhixing Cao China
Qian Zhu China
Khalid Raza India
Xuan Lin China
Bernd Wiswedel Germany
Yuhua Li China
Tania Pencheva Bulgaria
Nicolas Cebron Germany
Kilian Thiel Germany
Zhixing Cao China View profile →
Citations per field, relative to Ling Kang
Ling Kang · 1×
Citations per year, relative to Ling Kang
Ling Kang · 1×

Countries citing papers authored by Ling Kang

Since Specialization
Citations

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

Fields of papers citing papers by Ling Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Kang. A scholar is included among the top collaborators of Ling Kang 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 Ling Kang. Ling Kang 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 2
3 7
4 1
5 19
6 1
7 10
8 0
9 3
10 2
11 3
12 36
13
Dynamic Tension of Stranded Wires Helical Spring during Reeling
3
14 25
15 216
16 35
17 0
18 1
19 301
20
Application of a Kind of Nonlinear Combination Forecast Method in Runoff Prediction
0

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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