Feng Liang
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Mechanics of Materials
- Topics
- Hydrocarbon exploration and reservoir analysis (4 papers)E-commerce and Technology Innovations (3 papers)Metaheuristic Optimization Algorithms Research (3 papers)
- Journals
- Organic LettersIEEE Transactions on Industry ApplicationsInvestigative Ophthalmology & Visual Science
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Feng Liang
52 papers receiving 536 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 178
- Artificial Intelligence 164
- Electrical and Electronic Engineering 102
- Control and Systems Engineering 61
- Mechanics of Materials 55
Countries citing papers authored by Feng Liang
This map shows the geographic impact of Feng Liang'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 Feng Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Liang more than expected).
Fields of papers citing papers by Feng Liang
This network shows the impact of papers produced by Feng Liang. 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 Feng Liang. The network helps show where Feng Liang may publish in the future.
Co-authorship network of co-authors of Feng Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Feng Liang. A scholar is included among the top collaborators of Feng Liang 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 Feng Liang. Feng Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 19 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 22 | |
| 16 | Increased Oxidative Stress in Human Macular RPE Cells | 1 |
| 17 | Ciliary Neurotrophic Factor (CNTF) Delivered by Adeno-associated Viruses (AAV) Leads to Photoreceptor Loss and Impairs Retinal Function in Wild-type Rats | 1 |
| 18 | 2 | |
| 19 | EFFECT OF PREPARATION METHODS OF TiO_2 ON PHOTOCATALYTIC DEGRADING SODIUM DODECYL BENZENE SULFONATE | 1 |
| 20 | 16 |
About Feng Liang
Feng Liang is a scholar working on Business and International Management, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 548 indexed citations. Recurring topics across this work include Hydrocarbon exploration and reservoir analysis (4 papers), E-commerce and Technology Innovations (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (178 citations), Artificial Intelligence (164 citations) and Geology (16 citations). Feng Liang has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Diana Marculescu, Kunpeng Li, BoRui Wu, Peizhao Zhang, P. Vajda, Xiaoliang Dai, Yinan Zhao, Hang Zhang, Jianwu Yang and Yuefeng Liao. Their work appears in journals such as Organic Letters, IEEE Transactions on Industry Applications and Investigative Ophthalmology & Visual Science.
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.