Wang De

2.0k citations
42 papers · 1.2k · 1 hit paper · h-index 10

Impact in

Papers in

Wang De

39 papers receiving 1.1k citations

Wang De's Hit Papers

Argoverse: 3D Tracking and Forecasting With Rich Maps 2019 · 882 citations
8820+2+4Years since publication250500750

Peers

Wang De
Comparison fields: 5 of 88
  • Automotive Engineering 575
  • Computer Vision and Pattern Recognition 522
  • Safety, Risk, Reliability and Quality 147
  • Signal Processing 142
  • Building and Construction 149
Replace John Lambert with:
John Lambert United States
Ekim Yurtsever United States
Renjie Liao Canada
Haofeng Chen United States
Arnaud de La Fortelle France
Xinyu Huang United States
Adrien Gaidon United States
Oliver Pink Germany
Wang De relative to John Lambert United States John Lambert's profile →
Citations per field
00.5×12×
John Lambert · 1×
Citations per year

Countries citing papers authored by Wang De

Since Specialization
Citations

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

Fields of papers citing papers by Wang De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Argoverse: 3D Tracking and Forecasting With Rich Maps
Hit paper breakdown →
2019882
2 201349
3 201434
4 201325
5 201320
6 201820
7 201419
8 200913
9 201412
10 201512
11 20169
12 20148
13 20157
14 20146
15
STUDY ON TENDENCY OF SPONTANEOUS COMBUSTION OF COAL BASED ON ADIABATIC OXIDATION
20065
16 20155
17
Geochemical Characteristics and Origin of the Volcanic-intrusive Complex in Yanbei,Jiangxi Province
19945
18 20145
19
Experimental Research on Combustion Property of Mine Fire Source
20023
20 20223

About Wang De

Wang De is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Economics and Econometrics and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Spam and Phishing Detection (6 papers), Network Security and Intrusion Detection (5 papers), Seismology and Earthquake Studies (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Geochemistry and Geochronology of Asian Mineral Deposits (3 papers), Fire dynamics and safety research (3 papers), Safety and Risk Management (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Automotive Engineering (575 citations), Computer Vision and Pattern Recognition (522 citations), Safety, Risk, Reliability and Quality (147 citations), Signal Processing (142 citations) and Building and Construction (149 citations). Wang De has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Jagjeet Singh, Simon Lucey, Peter Carr, James Hays, John Lambert, Patsorn Sangkloy, Deva Ramanan, Sławomir Bąk, Andrew T. Hartnett and Ming-Fang Chang. Their work appears in journals such as IEEE Transactions on Services Computing, Journal of Materials Processing Technology, Materials Characterization, International Journal of Cooperative Information Systems and Materials 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.

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