Jiang Li
- Artificial Intelligence top 5%
- Inorganic Chemistry top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Materials Chemistry
- Co-authors
- Bo YangDayou LiuGai‐Ge WangLihong GuoHong DuanYao‐Yu WangLuo LiuHeqi Wang
- Topics
- Metal-Organic Frameworks: Synthesis and Applications (9 papers)Covalent Organic Framework Applications (6 papers)Neural Networks and Applications (6 papers)
- Journals
- Advanced MaterialsAngewandte Chemie International EditionSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jiang Li
85 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 322
- Inorganic Chemistry 249
- Electrical and Electronic Engineering 197
- Computer Vision and Pattern Recognition 179
- Materials Chemistry 175
Countries citing papers authored by Jiang Li
This map shows the geographic impact of Jiang Li'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 Jiang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Li more than expected).
Fields of papers citing papers by Jiang Li
This network shows the impact of papers produced by Jiang Li. 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 Jiang Li. The network helps show where Jiang Li may publish in the future.
Co-authorship network of co-authors of Jiang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Jiang Li. A scholar is included among the top collaborators of Jiang Li 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 Jiang Li. Jiang Li 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 | 2 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 45 | |
| 13 | 14 | |
| 14 | 0 | |
| 15 | 5 | |
| 16 | Review on echo state networks | 5 |
| 17 | 45 | |
| 18 | Credit evaluation of electric clients based on SVM | 0 |
| 19 | The Comparative Analyses on the Heroic Complex and Monarch Complex ——The Origin and Tendency of the Heroic Complex | 1 |
| 20 | Iterative improvement of neural classifiers | 14 |
About Jiang Li
Jiang Li is a scholar working on Inorganic Chemistry, Pharmacy and Signal Processing, having authored 97 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (9 papers), Covalent Organic Framework Applications (6 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Inorganic Chemistry (249 citations), Artificial Intelligence (322 citations) and Computer Vision and Pattern Recognition (179 citations). Jiang Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Bo Yang, Dayou Liu, Gai‐Ge Wang, Lihong Guo, Hong Duan, Yao‐Yu Wang, Luo Liu, Heqi Wang, Guo‐Ping Yang and M.T. Manry. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.
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.