Liheng Xu
- Artificial Intelligence top 0.2%
- Information Systems top 1%
- Water Science and Technology top 2%
- Computer Vision and Pattern Recognition top 2%
- Management Science and Operations Research top 2%
- Topics
- Adsorption and biosorption for pollutant removal (21 papers)Topic Modeling (11 papers)Sentiment Analysis and Opinion Mining (10 papers)
- Cited by
- Artificial IntelligenceWater Science and TechnologyIndustrial and Manufacturing Engineering
- Journals
- The Science of The Total EnvironmentJournal of Hazardous MaterialsChemical Engineering Journal
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Liheng Xu
60 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 3.1k
- Information Systems 778
- Water Science and Technology 576
- Computer Vision and Pattern Recognition 394
- Management Science and Operations Research 360
Countries citing papers authored by Liheng Xu
This map shows the geographic impact of Liheng Xu'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 Liheng Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liheng Xu more than expected).
Fields of papers citing papers by Liheng Xu
This network shows the impact of papers produced by Liheng Xu. 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 Liheng Xu. The network helps show where Liheng Xu may publish in the future.
Co-authorship network of co-authors of Liheng Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Liheng Xu. A scholar is included among the top collaborators of Liheng Xu 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 Liheng Xu. Liheng Xu 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 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 42 | |
| 9 | 41 | |
| 10 | 45 | |
| 11 | 24 | |
| 12 | 44 | |
| 13 | 84 | |
| 14 | 14 | |
| 15 | 35 | |
| 16 | 105 | |
| 17 | Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networksbreakdown → | 548 |
| 18 | Knowledge Graph Embedding via Dynamic Mapping Matrixbreakdown → | 1065 |
| 19 | Opinion Target Extraction Using Word-Based Translation Model | 76 |
| 20 | 52 |
About Liheng Xu
Liheng Xu is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Pollution, having authored 65 papers that have together received 4.7k indexed citations. Recurring topics across this work include Adsorption and biosorption for pollutant removal (21 papers), Topic Modeling (11 papers) and Sentiment Analysis and Opinion Mining (10 papers). The work is most often cited by research in Artificial Intelligence (3.1k citations), Water Science and Technology (576 citations) and Industrial and Manufacturing Engineering (314 citations). Liheng Xu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Kang Liu, Jun Zhao, Siwei Lai, Jun Zhao, Guoliang Ji, Shizhu He, Ming Zhang, Yubo Chen, Daojian Zeng and Kang Liu. Their work appears in journals such as The Science of The Total Environment, Journal of Hazardous Materials and Chemical Engineering Journal.
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.