Deyi Li

267 papers receiving 7.4k citations

Deyi Li's Hit Papers

Object Classification Using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment 2018 · 401 citations
4010+6+13Years since publication200400600

Peers

Deyi Li
Comparison fields: 5 of 199
  • Information Systems 1.4k
  • Ecological Modeling 229
  • Safety, Risk, Reliability and Quality 431
  • Fluid Flow and Transfer Processes 275
  • Automotive Engineering 522
Replace Amir Mosavi with:
Amir Mosavi Hungary
Martin Hagan United States
Ashish Ghosh India
Shahaboddin Shamshirband Iran
Jie Liu China
Mohamed Abd Elaziz Egypt
Xin Yang China
Hui Liu China
Yan Wang China
John W. Sutherland United States
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Countries citing papers authored by Deyi Li

Since Specialization
Citations

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

Fields of papers citing papers by Deyi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deyi 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 Deyi Li Line = papers co-authored together Deyi Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 284 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Geomatics and Information Science of Wuhan University
Hit paper breakdown →
2006672
2
A new cognitive model: Cloud model
Hit paper breakdown →
2009602
3
Object Classification Using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment
Hit paper breakdown →
2018401
4 2007302
5 2014235
6 2004204
7 2010195
8 2019147
9 2008140
10 2017136
11 2015121
12 2016120
13 2019109
14 2014104
15 1998104
16 201194
17
DBMiner: a system for mining knowledge in large relational databases
199684
18 201884
19 201383
20 201377

About Deyi Li

Deyi Li is a scholar working on Information Systems, Artificial Intelligence, Materials Chemistry, Electrical and Electronic Engineering and Mechanical Engineering, having authored 284 papers that have together received 7.6k indexed citations. Recurring topics across this work include Advanced Decision-Making Techniques (27 papers), Advancements in Battery Materials (19 papers), Complex Network Analysis Techniques (18 papers), Metal and Thin Film Mechanics (17 papers), Advanced Battery Materials and Technologies (16 papers), Copper Interconnects and Reliability (15 papers), Autonomous Vehicle Technology and Safety (13 papers) and Thermal properties of materials (11 papers). The work is most often cited by research in Information Systems (1.4k citations), Ecological Modeling (229 citations), Safety, Risk, Reliability and Quality (431 citations), Fluid Flow and Transfer Processes (275 citations) and Automotive Engineering (522 citations). Deyi Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lingping Zhou, Jiajun Zhu, Wenyan Gan, Wulin Yang, Yi Du, Licai Fu, Shiyuan Hu, Yaolin Liu, LI Deren and Hongbo Gao. Their work appears in journals such as Applied Surface Science, Journal of Alloys and Compounds, CAAI Transactions on Intelligence Technology, Transactions of Nonferrous Metals Society of China and Science China Information Sciences.

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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