Da Li

435 citations
32 papers · 328 · h-index 7

Impact in

Papers in

Da Li

23 papers receiving 313 citations

Peers

Da Li
Comparison fields: 5 of 54
  • Mechanical Engineering 151
  • Aerospace Engineering 76
  • Computer Vision and Pattern Recognition 59
  • Automotive Engineering 33
  • Media Technology 22
Replace Jun Xiao with:
Jun Xiao China
Jiří Tůma Czechia
Lin Jiang China
S. Piva Italy
Sriparna Banerjee India
Satoru Igarashi Japan
Yunfei Zhou China
Zeyi Li China
Da Li relative to Jun Xiao China Jun Xiao's profile →
Citations per field
00.5×2×3×3.7×
Jun Xiao · 1×
Citations per year

Countries citing papers authored by Da Li

Since Specialization
Citations

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

Fields of papers citing papers by Da Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Da Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Da Li Line = papers co-authored together Da Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018149
2 201467
3 202317
4 201915
5 202012
6 20238
7 20236
8 20176
9 20256
10 20245
11 20125
12 20124
13 20244
14 20174
15
Implementing Integrated Supported Employment in Mainland China: A case vignette
20153
16 20243
17 20103
18 20203
19 20193
20 20231

About Da Li

Da Li is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering, having authored 32 papers that have together received 328 indexed citations. Recurring topics across this work include Radar Systems and Signal Processing (6 papers), Advanced Wireless Communication Technologies (4 papers), Indoor and Outdoor Localization Technologies (4 papers), Underwater Vehicles and Communication Systems (3 papers), PAPR reduction in OFDM (3 papers), Video Surveillance and Tracking Methods (3 papers), Robotics and Sensor-Based Localization (2 papers) and Advanced Fiber Optic Sensors (2 papers). The work is most often cited by research in Mechanical Engineering (151 citations), Aerospace Engineering (76 citations), Computer Vision and Pattern Recognition (59 citations), Automotive Engineering (33 citations) and Media Technology (22 citations). Da Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Feng‐Chen Li, Hong-Na Zhang, Weihua Cai, Weigang Zhang, Bo Tang, Yingke Lei, Wenjun Wu, Xin Li, Fan Mo and Yu Zhang. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Signal Processing, Applied Thermal Engineering, Journal of Modern Optics 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