Ling Kang

1.3k citations
34 papers · 948 indexed · h-index 11
Topics
Computational Drug Discovery Methods (12 papers)Protein Structure and Dynamics (5 papers)Advanced machining processes and optimization (5 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaDesalination
Partner nations
ChinaSingaporeCanada

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
Yuhua Li China
Bernd Wiswedel Germany
Kai Zheng China
Xuan Lin China
Khalid Raza India
Zhan Deng China
Qian Zhu China
Kilian Thiel Germany
Ling Kang relative to Zhixing Cao China Zhixing Cao's profile →
Citations per field
00.5×5.4×
Zhixing Cao · 1×
Citations per year

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
#WorkIndexed 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

About Ling Kang

Ling Kang is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Ocean Engineering, having authored 34 papers that have together received 948 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (5 papers) and Advanced machining processes and optimization (5 papers). The work is most often cited by research in Computational Theory and Mathematics (475 citations), Industrial and Manufacturing Engineering (157 citations) and Pharmacology (89 citations). Ling Kang has collaborated with scholars based in China, Singapore and Canada. Frequent 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. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Desalination.

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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