Jian Luo
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Management Science and Operations Research top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Shu‐Cherng FangTao HongYe TianXin YanZheming GaoZhibin DengMeng YueYanqin Bai
- Topics
- Face and Expression Recognition (12 papers)Energy Load and Power Forecasting (9 papers)Machine Learning and ELM (6 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionManagement Science and Operations Research
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jian Luo
43 papers receiving 752 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 383
- Electrical and Electronic Engineering 264
- Computer Vision and Pattern Recognition 238
- Management Science and Operations Research 112
- Control and Systems Engineering 101
Countries citing papers authored by Jian Luo
This map shows the geographic impact of Jian Luo'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 Jian Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Luo more than expected).
Fields of papers citing papers by Jian Luo
This network shows the impact of papers produced by Jian Luo. 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 Jian Luo. The network helps show where Jian Luo may publish in the future.
Co-authorship network of co-authors of Jian Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Luo. A scholar is included among the top collaborators of Jian Luo 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 Jian Luo. Jian Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 18 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 34 | |
| 16 | 10 | |
| 17 | 19 | |
| 18 | 2 | |
| 19 | Quadratic Surface Support Vector Machines with Applications. | 2 |
| 20 | The EM-based Maximum Likelihood Classifier for Remotely Sensed Data | 6 |
About Jian Luo
Jian Luo is a scholar working on Numerical Analysis, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 771 indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Energy Load and Power Forecasting (9 papers) and Machine Learning and ELM (6 papers). The work is most often cited by research in Artificial Intelligence (383 citations), Computer Vision and Pattern Recognition (238 citations) and Management Science and Operations Research (112 citations). Jian Luo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shu‐Cherng Fang, Tao Hong, Ye Tian, Xin Yan, Zheming Gao, Zhibin Deng, Meng Yue, Yanqin Bai, Xiaoling Guo and Yueqing Li. Their work appears in journals such as IEEE Transactions on Information Theory, European Journal of Operational Research and Energy.
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.