Lixiong Li
- Biomedical Engineering top 2%
- Materials Chemistry top 10%
- Water Science and Technology top 5%
- Catalysis top 5%
- Organic Chemistry top 10%
- Co-authors
- Earnest F. GloynaErdoǧan KiranDongsoo LeeNeil CrainDevin M. WalkerMichael V. HenleyJuan R. PortelaMinrui Fei
- Topics
- Subcritical and Supercritical Water Processes (18 papers)Advanced oxidation water treatment (8 papers)Environmental remediation with nanomaterials (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Lixiong Li
37 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 85
- Biomedical Engineering 985
- Materials Chemistry 388
- Water Science and Technology 323
- Catalysis 264
- Organic Chemistry 172
Countries citing papers authored by Lixiong Li
This map shows the geographic impact of Lixiong 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 Lixiong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lixiong Li more than expected).
Fields of papers citing papers by Lixiong Li
This network shows the impact of papers produced by Lixiong 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 Lixiong Li. The network helps show where Lixiong Li may publish in the future.
Co-authorship network of co-authors of Lixiong Li
This figure shows the co-authorship network connecting the top 25 collaborators of Lixiong Li. A scholar is included among the top collaborators of Lixiong 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 Lixiong Li. Lixiong 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 | 0 | |
| 2 | Bounding Average Returns to Schooling using Unconditional Moment Restrictions | 2 |
| 3 | 5 | |
| 4 | 0 | |
| 5 | Radial-basis-function neural network based on fast recursive algorithm and its application | 2 |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 27 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 18 | |
| 12 | 11 | |
| 13 | 12 | |
| 14 | 198 | |
| 15 | 32 | |
| 16 | 92 | |
| 17 | 368 | |
| 18 | 1 | |
| 19 | 86 | |
| 20 | 22 |
About Lixiong Li
Lixiong Li is a scholar working on Water Science and Technology, Energy Engineering and Power Technology and Biomedical Engineering, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Subcritical and Supercritical Water Processes (18 papers), Advanced oxidation water treatment (8 papers) and Environmental remediation with nanomaterials (4 papers). The work is most often cited by research in Catalysis (264 citations), Water Science and Technology (323 citations) and Biomedical Engineering (985 citations). Lixiong Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Earnest F. Gloyna, Erdoǧan Kiran, Dongsoo Lee, Neil Crain, Devin M. Walker, Michael V. Henley, Juan R. Portela, Minrui Fei, Frank M. Tiller and Yuyun Chen. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Hazardous Materials and Bioresource Technology.
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.