Haijing Wang
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Topics
- Advanced Control Systems Optimization (7 papers)Adaptive Control of Nonlinear Systems (6 papers)Hydrocarbon exploration and reservoir analysis (5 papers)
- Journals
- Journal of Agricultural and Food ChemistryIndustrial & Engineering Chemistry ResearchEnergy & Fuels
- Partner nations
- ChinaUnited StatesLatvia
In The Last Decade
Haijing Wang
36 papers receiving 496 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Information Systems 190
- Computer Vision and Pattern Recognition 147
- Artificial Intelligence 139
- Control and Systems Engineering 72
- Biomedical Engineering 63
Countries citing papers authored by Haijing Wang
This map shows the geographic impact of Haijing 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 Haijing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijing Wang more than expected).
Fields of papers citing papers by Haijing Wang
This network shows the impact of papers produced by Haijing 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 Haijing Wang. The network helps show where Haijing Wang may publish in the future.
Co-authorship network of co-authors of Haijing Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Haijing Wang. A scholar is included among the top collaborators of Haijing Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haijing Wang. Haijing Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 44 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | Deep Crossingbreakdown → | 237 |
| 17 | 2 | |
| 18 | Using NMR to Characterize Fluids in Tight Rock Unconventional and Shale Formations | 13 |
| 19 | 1 | |
| 20 | 3 |
About Haijing Wang
Haijing Wang is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 514 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (7 papers), Adaptive Control of Nonlinear Systems (6 papers) and Hydrocarbon exploration and reservoir analysis (5 papers). The work is most often cited by research in Catalysis (59 citations), Information Systems (190 citations) and Computer Vision and Pattern Recognition (147 citations). Haijing Wang has collaborated with scholars based in China, United States and Latvia. Frequent co-authors include Ying Shan, Jian Jiao, T. Ryan Hoens, Dong Yu, Genhui Xu, Yanchun Li, Zhenhua Li, Jinzhu Peng, Yaonan Wang and Hui Zhang. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Industrial & Engineering Chemistry Research and Energy & Fuels.
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.