Weichen Dai

623 citations
24 papers · 411 · 1 hit paper · h-index 8

Impact in

Papers in

Weichen Dai

20 papers receiving 407 citations

Weichen Dai's Hit Papers

RGB-D SLAM in Dynamic Environments Using Point Correlations 2020 · 193 citations
1930+2+4Years since publication50100150

Peers

Weichen Dai
Comparison fields: 5 of 31
  • Aerospace Engineering 271
  • Computer Vision and Pattern Recognition 54
  • Experimental and Cognitive Psychology 31
  • Instrumentation 4
  • Artificial Intelligence 43
Replace Sebastià V. Amengual Garí with:
Sebastià V. Amengual Garí United States
Abhay A. Pashilkar India
Moussa Amrani China
Chao Qin China
Morteza Valizadeh Iran
Ahmed A. Abdelrahman Germany
Haoran Zhang China
Weichen Dai relative to Sebastià V. Amengual Garí United States Sebastià V. Amengual Garí's profile →
Citations per field
00.5×2×4×5.4×
Sebastià V. Amengual Garí · 1×
Citations per year

Countries citing papers authored by Weichen Dai

Since Specialization
Citations

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

Fields of papers citing papers by Weichen Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
RGB-D SLAM in Dynamic Environments Using Point Correlations
Hit paper breakdown →
2020193
2 202346
3 202240
4 202231
5 202118
6 202112
7 201911
8 20219
9 20238
10 20197
11 20227
12 20227
13 20245
14 20184
15 20234
16 20232
17 20252
18 20252
19 20221
20 20251

About Weichen Dai

Weichen Dai is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Instrumentation and Cognitive Neuroscience, having authored 24 papers that have together received 411 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Advanced Vision and Imaging (5 papers), Domain Adaptation and Few-Shot Learning (3 papers), EEG and Brain-Computer Interfaces (2 papers), 3D Shape Modeling and Analysis (2 papers), Advanced Optical Sensing Technologies (1 paper), Sentiment Analysis and Opinion Mining (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Aerospace Engineering (271 citations), Computer Vision and Pattern Recognition (54 citations), Experimental and Cognitive Psychology (31 citations), Instrumentation (4 citations) and Artificial Intelligence (43 citations). Weichen Dai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yu Zhang, Li Ping, Zheng Fang, Sebastian Scherer, Wanzeng Kong, Xuanyu Jin, Yu Ding, Donglei Sun, Jiajia Tang and Jianting Cao. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, The Visual Computer, IEEE Transactions on Industrial Electronics and International Journal of Human-Computer Interaction.

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