Liangjin Zhao
- Industrial and Manufacturing Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Management Information Systems top 5%
- Aerospace Engineering top 10%
- Co-authors
- Fei TaoYing ChengXian SunWenhui DiaoHongqi WangTao XuKun FuRuifei Wang
- Topics
- Advanced Neural Network Applications (12 papers)Advanced Image and Video Retrieval Techniques (11 papers)Remote-Sensing Image Classification (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingIEEE Access
- Partner nations
- ChinaUnited States
In The Last Decade
Liangjin Zhao
28 papers receiving 695 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Industrial and Manufacturing Engineering 237
- Computer Vision and Pattern Recognition 219
- Media Technology 129
- Management Information Systems 111
- Aerospace Engineering 93
Countries citing papers authored by Liangjin Zhao
This map shows the geographic impact of Liangjin Zhao'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 Liangjin Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangjin Zhao more than expected).
Fields of papers citing papers by Liangjin Zhao
This network shows the impact of papers produced by Liangjin Zhao. 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 Liangjin Zhao. The network helps show where Liangjin Zhao may publish in the future.
Co-authorship network of co-authors of Liangjin Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Liangjin Zhao. A scholar is included among the top collaborators of Liangjin Zhao 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 Liangjin Zhao. Liangjin Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 16 | |
| 10 | 25 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | 26 | |
| 14 | 11 | |
| 15 | 72 | |
| 16 | 28 | |
| 17 | 3 | |
| 18 | 19 | |
| 19 | 36 | |
| 20 | 1 |
About Liangjin Zhao
Liangjin Zhao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering, having authored 29 papers that have together received 716 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Remote-Sensing Image Classification (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (237 citations), Media Technology (129 citations) and Management Information Systems (111 citations). Liangjin Zhao has collaborated with scholars based in China and United States. Frequent co-authors include Fei Tao, Ying Cheng, Xian Sun, Wenhui Diao, Hongqi Wang, Tao Xu, Kun Fu, Ruifei Wang, Pingping Shen and Yue Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.
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.