Deyi Li

298 papers receiving 8.1k citations

Deyi Li's Hit Papers

Object Classification Using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment 2018 · 416 citations
4160+6+13Years since publication250500750

Peers

Deyi Li
Comparison fields: 5 of 201
  • Information Systems 1.7k
  • Ecological Modeling 249
  • Safety, Risk, Reliability and Quality 466
  • Fluid Flow and Transfer Processes 279
  • Automotive Engineering 554
Replace Amir Mosavi with:
Amir Mosavi Hungary
Martin Hagan United States
Ashish Ghosh India
Shahaboddin Shamshirband Iran
Jie Liu China
Mohamed Abd Elaziz Egypt
Amir H. Alavi United States
Hui Liu China
Yan Wang China
Xin Yang China
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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 321 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Geomatics and Information Science of Wuhan University
Hit paper breakdown →
2006787
2
A new cognitive model: Cloud model
Hit paper breakdown →
2009618
3
Object Classification Using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment
Hit paper breakdown →
2018416
4 2007344
5 2014243
6 2010222
7 2004216
8 2017158
9 2019147
10 2008140
11 2015129
12 2016125
13
DBMiner: a system for mining knowledge in large relational databases
1996117
14 1998114
15 2019109
16
A Fuzzy Prolog Database System
1990108
17 2014105
18 201198
19 201887
20 201385

About Deyi Li

Deyi Li is a scholar working on Information Systems, Artificial Intelligence, Electrical and Electronic Engineering, Materials Chemistry and Computer Vision and Pattern Recognition, having authored 321 papers that have together received 8.4k indexed citations. Recurring topics across this work include Advanced Decision-Making Techniques (34 papers), Complex Network Analysis Techniques (26 papers), Advancements in Battery Materials (19 papers), Metal and Thin Film Mechanics (17 papers), Data Management and Algorithms (17 papers), Advanced Battery Materials and Technologies (16 papers), Copper Interconnects and Reliability (15 papers) and Opinion Dynamics and Social Influence (15 papers). The work is most often cited by research in Information Systems (1.7k citations), Ecological Modeling (249 citations), Safety, Risk, Reliability and Quality (466 citations), Fluid Flow and Transfer Processes (279 citations) and Automotive Engineering (554 citations). Deyi Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yi Du, Lingping Zhou, Wenyan Gan, Jiajun Zhu, Wulin Yang, Yaolin Liu, Shiyuan Hu, LI Deren, Licai Fu and Hongbo Gao. Their work appears in journals such as Journal of Alloys and Compounds, Applied Surface Science, CAAI Transactions on Intelligence Technology, Diamond and Related Materials 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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