Haochen Wang
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
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- Reservoir Engineering and Simulation Methods 13
- Oil and Gas Production Techniques 4
- Drilling and Well Engineering 4
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- Advanced Neural Network Applications 8
- Multimodal Machine Learning Applications 6
- Co-authors
- Xinyi Le (1 shared paper)Yujun Shen (1 shared paper)Liwei Wu (1 shared paper)Guoqiang Jin (1 shared paper)Rui Zhao (1 shared paper)Wei Li (1 shared paper)Kai Zhang (13 shared papers)Xiaopeng Ma (5 shared papers)
- Journals
- SPE Journal (5 papers)Applied Sciences (2 papers)Journal of Intelligent & Fuzzy Systems (1 paper)Energies (1 paper)Physical Review Applied (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Haochen Wang
38 papers receiving 564 citations
Haochen Wang's Hit Papers
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 247
- Media Technology 57
- Ocean Engineering 95
- Artificial Intelligence 189
- Software 20
Countries citing papers authored by Haochen Wang
This map shows the geographic impact of Haochen Wang'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 Haochen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haochen Wang more than expected).
Fields of papers citing papers by Haochen Wang
This network shows the impact of papers produced by Haochen Wang. 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 Haochen Wang. The network helps show where Haochen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haochen Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels Hit paper breakdown → | 2022 | 278 |
| 2 | 2021 | 86 | |
| 3 | 2018 | 32 | |
| 4 | 2023 | 16 | |
| 5 | 2021 | 15 | |
| 6 | 2021 | 13 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2012 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2015 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2024 | 4 |
About Haochen Wang
Haochen Wang is a scholar working on Ocean Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Mechanical Engineering and Control and Systems Engineering, having authored 46 papers that have together received 573 indexed citations. Recurring topics across this work include Reservoir Engineering and Simulation Methods (13 papers), Hydraulic Fracturing and Reservoir Analysis (9 papers), Advanced Neural Network Applications (8 papers), Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (6 papers), Oil and Gas Production Techniques (4 papers), Drilling and Well Engineering (4 papers) and Hydrocarbon exploration and reservoir analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (247 citations), Media Technology (57 citations), Ocean Engineering (95 citations), Artificial Intelligence (189 citations) and Software (20 citations). Haochen Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xinyi Le, Yujun Shen, Liwei Wu, Guoqiang Jin, Rui Zhao, Wei Li, Kai Zhang, Xiaopeng Ma, Jun Yao and Jian Wang. Their work appears in journals such as SPE Journal, Applied Sciences, Journal of Intelligent & Fuzzy Systems, Energies and Physical Review Applied.
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.