Hongwei Li

860 citations
32 papers · 740 indexed · h-index 13
Topics
Advanced Memory and Neural Computing (8 papers)Magnetic and transport properties of perovskites and related materials (6 papers)Transition Metal Oxide Nanomaterials (6 papers)

In The Last Decade

Hongwei Li

31 papers receiving 729 citations

Peers

Hongwei Li
Comparison fields: 5 of 52
  • Electrical and Electronic Engineering 485
  • Materials Chemistry 279
  • Renewable Energy, Sustainability and the Environment 164
  • Polymers and Plastics 156
  • Electronic, Optical and Magnetic Materials 141
Replace Douglas M. Bishop with:
Douglas M. Bishop United States
Bowen Li China
Peter Würfel Germany
Hongxi Zhou China
Qingjun Wang China
Ruilong Yang China
Lei Cao China
Md. Mehedi Hasan Malaysia
Bill Baloukas Canada
Burkay Uzlu Germany
Hongwei Li relative to Douglas M. Bishop United States Douglas M. Bishop's profile →
Citations per field
00.5×10×16.8×
Douglas M. Bishop · 1×
Citations per year

Countries citing papers authored by Hongwei Li

Since Specialization
Citations

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

Fields of papers citing papers by Hongwei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongwei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Hongwei Li. A scholar is included among the top collaborators of Hongwei 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 Hongwei Li. Hongwei 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 51
2 10
3 17
4 5
5 13
6 17
7 10
8 10
9 5
10 111
11 62
12 14
13 1
14 139
15 1
16 2
17 1
18 7
19 23
20 0

About Hongwei Li

Hongwei Li is a scholar working on Electronic, Optical and Magnetic Materials, Condensed Matter Physics and Polymers and Plastics, having authored 32 papers that have together received 740 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Magnetic and transport properties of perovskites and related materials (6 papers) and Transition Metal Oxide Nanomaterials (6 papers). The work is most often cited by research in Polymers and Plastics (156 citations), Renewable Energy, Sustainability and the Environment (164 citations) and Building and Construction (135 citations). Hongwei Li has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Svend Svendsen, Bai Sun, Lujun Wei, Peng Chen, Wenxi Zhao, Xiaochen Yang, Richard McCray, Shuxiang Wu, Jian Wu and Shuwei Li. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and The Astrophysical 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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