Duo Li

582 citations
27 papers · 333 indexed · 1 hit paper · h-index 9
Topics
GaN-based semiconductor devices and materials (12 papers)Model Reduction and Neural Networks (9 papers)Low-power high-performance VLSI design (7 papers)
Journals
Advanced MaterialsSHILAP Revista de lepidopterologíaApplied Physics Letters

In The Last Decade

Duo Li

27 papers receiving 323 citations

Hit Papers

Explainable spatiotemporal multi-task learning for electr...202520262025102030

Peers

Duo Li
Comparison fields: 5 of 52
  • Electrical and Electronic Engineering 168
  • Condensed Matter Physics 152
  • Materials Chemistry 111
  • Electronic, Optical and Magnetic Materials 90
  • Biomedical Engineering 77
Replace Chun-Hsiung Lin with:
Chun-Hsiung Lin Taiwan
Fen Guo China
W.T. Kary Chien China
Keisuke Masuda Japan
Alexander Kovacs Austria
S. Yamaguchi Japan
Shaikh Ahmed United States
Nina R. Weisse‐Bernstein United States
R. Bonin Italy
Duo Li relative to Chun-Hsiung Lin Taiwan Chun-Hsiung Lin's profile →
Citations per field
00.5×7.7×
Chun-Hsiung Lin · 1×
Citations per year

Countries citing papers authored by Duo Li

Since Specialization
Citations

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

Fields of papers citing papers by Duo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duo Li

This figure shows the co-authorship network connecting the top 25 collaborators of Duo Li. A scholar is included among the top collaborators of Duo 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 Duo Li. Duo 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
Explainable spatiotemporal multi-task learning for electric vehicle charging demand predictionbreakdown →
33
2 44
3 6
4 7
5 5
6 2
7 8
8 28
9 19
10 82
11 14
12 15
13 14
14 2
15 1
16 2
17 4
18 1
19 2
20 1

About Duo Li

Duo Li is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty, having authored 27 papers that have together received 333 indexed citations. Recurring topics across this work include GaN-based semiconductor devices and materials (12 papers), Model Reduction and Neural Networks (9 papers) and Low-power high-performance VLSI design (7 papers). The work is most often cited by research in Condensed Matter Physics (152 citations), Electronic, Optical and Magnetic Materials (90 citations) and Electrical and Electronic Engineering (168 citations). Duo Li has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Sheldon X.-D. Tan, Xinqiang Wang, Bo Shen, Tao Wang, Zhaoying Chen, Xin Rong, Shangfeng Liu, Yang Li, Yitong Shang and Sen Li. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and Applied Physics Letters.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026