Hao Dang

42 papers receiving 1.2k citations

Hao Dang's Hit Papers

Optimization strategies toward advanced aqueous zinc-ion batteries: From facing key issues to viable solutions 2023 · 162 citations
1620+1+2Years since publication50100150

Peers

Hao Dang
Comparison fields: 5 of 91
  • Control and Systems Engineering 612
  • Human-Computer Interaction 71
  • Biomedical Engineering 423
  • Automotive Engineering 102
  • Computer Vision and Pattern Recognition 155
Replace Yuxin Peng with:
Yuxin Peng China
Jin‐Oh Kim South Korea
Yuheng Wu China
Abhijit Kulkarni India
Kinde Anlay Fante Ethiopia
Matthew M. F. Yuen Hong Kong
Xiao Ming Tao Hong Kong
Soohyun Kim South Korea
Bowen Wang China
Hao Dang relative to Yuxin Peng China Yuxin Peng's profile →
Citations per field
00.5×6.8×
Yuxin Peng · 1×
Citations per year

Countries citing papers authored by Hao Dang

Since Specialization
Citations

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

Fields of papers citing papers by Hao Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009225
2
Optimization strategies toward advanced aqueous zinc-ion batteries: From facing key issues to viable solutions
Hit paper breakdown →
2023162
3 2022111
4 201388
5 200965
6 201255
7 201853
8 201251
9 201148
10 202040
11 201430
12 202325
13 201425
14 201323
15 201822
16 202320
17 201020
18 202216
19 201916
20 202314

About Hao Dang

Hao Dang is a scholar working on Biomedical Engineering, Control and Systems Engineering, Materials Chemistry, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Thermal properties of materials (6 papers), Reinforcement Learning in Robotics (4 papers), Tactile and Sensory Interactions (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Soft Robotics and Applications (4 papers), Microgrid Control and Optimization (3 papers) and Advanced DC-DC Converters (3 papers). The work is most often cited by research in Control and Systems Engineering (612 citations), Human-Computer Interaction (71 citations), Biomedical Engineering (423 citations), Automotive Engineering (102 citations) and Computer Vision and Pattern Recognition (155 citations). Hao Dang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Peter K. Allen, Matei Ciocarlie, Corey Goldfeder, Fen Ran, Xiangye Li, Yihan Fu, Lu Wang, Dahui Wang, Xinbo Ruan and Xinze Huang. Their work appears in journals such as International Journal of Heat and Mass Transfer, IEEE Transactions on Power Electronics, Autonomous Robots, Microchemical Journal and Materials Science and Engineering R Reports.

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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