Shangkun Li

506 citations
27 papers · 397 indexed · h-index 10
Topics
Magnetic properties of thin films (10 papers)Advanced Memory and Neural Computing (6 papers)Magnetic and transport properties of perovskites and related materials (4 papers)

In The Last Decade

Shangkun Li

24 papers receiving 387 citations

Peers

Shangkun Li
Comparison fields: 5 of 59
  • Materials Chemistry 149
  • Biomedical Engineering 133
  • Electrical and Electronic Engineering 109
  • Water Science and Technology 105
  • Organic Chemistry 69
Replace Xiaodong Jiang with:
Xiaodong Jiang China
Sitangshu Sekhar Pradhan India
Shujing Yang China
Faming Gao China
Melvin Arias Polanco Dominican Republic
M. Srinivas India
Mohsen Babamoradi Iran
Zahra Samavati Malaysia
Khuram Ali Pakistan
Shangkun Li relative to Xiaodong Jiang China Xiaodong Jiang's profile →
Citations per field
00.5×1.6×
Xiaodong Jiang · 1×
Citations per year

Countries citing papers authored by Shangkun Li

Since Specialization
Citations

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

Fields of papers citing papers by Shangkun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangkun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shangkun Li. A scholar is included among the top collaborators of Shangkun Li 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 Shangkun Li. Shangkun Li 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 0
2 0
3 2
4 7
5 1
6 1
7 22
8 3
9 12
10 7
11 4
12 3
13 8
14 30
15 28
16 14
17 6
18
Recent Advances in the Investigation on Mechanical Properties of PBX
2
19 121
20 74

About Shangkun Li

Shangkun Li is a scholar working on Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 27 papers that have together received 397 indexed citations. Recurring topics across this work include Magnetic properties of thin films (10 papers), Advanced Memory and Neural Computing (6 papers) and Magnetic and transport properties of perovskites and related materials (4 papers). The work is most often cited by research in Water Science and Technology (105 citations), Polymers and Plastics (52 citations) and Electronic, Optical and Magnetic Materials (62 citations). Shangkun Li has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Junyu Lei, Xiaofeng Lu, Ce Wang, Yanpeng Xue, Tian Zheng, Andrew J. deMello, Chengcheng Zhang, Xiang Li, Philip D. Howes and Wei Liu. Their work appears in journals such as Applied Physics Letters, PLoS ONE and Advanced Functional Materials.

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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