Hao Chen

103 papers receiving 1.5k citations

Hao Chen's Hit Papers

Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis 2021 · 234 citations
2340+1+3Years since publication50100150200

Peers

Hao Chen
Comparison fields: 5 of 131
  • Transportation 274
  • Building and Construction 390
  • Media Technology 247
  • Ocean Engineering 200
  • Artificial Intelligence 386
Replace Lawrence A. Klein with:
Lawrence A. Klein United States
Young‐Seon Jeong United States
Guanghui Li China
Jianlei Kong China
Xuebo Jin China
Xiaoyi Wang China
Peter Hellinckx Belgium
Xu Yang Macao
Chen Wang China
Wentao Fan China
Hao Chen relative to Lawrence A. Klein United States Lawrence A. Klein's profile →
Citations per field
00.5×10×15.8×
Lawrence A. Klein · 1×
Citations per year

Countries citing papers authored by Hao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis
Hit paper breakdown →
2021234
2 202369
3 202163
4 202063
5 202058
6 201456
7 201455
8 201948
9 200347
10 201947
11 202447
12 202443
13 202241
14 202133
15 202032
16 201131
17 201730
18 202226
19 202026
20 202125

About Hao Chen

Hao Chen is a scholar working on Building and Construction, Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology and Control and Systems Engineering, having authored 116 papers that have together received 1.6k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (21 papers), Remote-Sensing Image Classification (16 papers), Transportation Planning and Optimization (14 papers), Topic Modeling (12 papers), Traffic control and management (11 papers), Automated Road and Building Extraction (9 papers), Remote Sensing and LiDAR Applications (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Transportation (274 citations), Building and Construction (390 citations), Media Technology (247 citations), Ocean Engineering (200 citations) and Artificial Intelligence (386 citations). Hao Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hesham Rakha, Chun Du, Jiangjiang Wu, Zhanyu Ma, Xiaojie Wang, Eduard Hovy, Ruifan Li, Fangxiang Feng, Jun Li and Senzhang Wang. Their work appears in journals such as Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Transportation Research Part C Emerging Technologies and 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.

Explore authors with similar magnitude of impact