Xiaojun Wen
- Pollution top 2%
- Ecology top 10%
- Health, Toxicology and Mutagenesis top 5%
- Artificial Intelligence top 10%
- Water Science and Technology top 10%
- Topics
- Coastal wetland ecosystem dynamics (9 papers)Advanced Nanomaterials in Catalysis (8 papers)Heavy metals in environment (6 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaojun Wen
23 papers receiving 867 citations
Peers
Comparison fields: 5 of 80
- Pollution 453
- Ecology 216
- Health, Toxicology and Mutagenesis 160
- Artificial Intelligence 153
- Water Science and Technology 136
Countries citing papers authored by Xiaojun Wen
This map shows the geographic impact of Xiaojun Wen'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 Xiaojun Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Wen more than expected).
Fields of papers citing papers by Xiaojun Wen
This network shows the impact of papers produced by Xiaojun Wen. 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 Xiaojun Wen. The network helps show where Xiaojun Wen may publish in the future.
Co-authorship network of co-authors of Xiaojun Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Wen. A scholar is included among the top collaborators of Xiaojun Wen 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 Xiaojun Wen. Xiaojun Wen 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 | 21 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 14 | |
| 6 | 8 | |
| 7 | 44 | |
| 8 | 23 | |
| 9 | 3 | |
| 10 | 14 | |
| 11 | 86 | |
| 12 | 19 | |
| 13 | Effects of polycyclic aromatic hydrocarbon(phenanthrene)addition on soil nitrogen mineralization processes in rural and urban river wetlands of the Pearl River Estuary, China | 1 |
| 14 | A Short Text Clustering Method Based on Deep Neural Network Model | 1 |
| 15 | Classification of Speech Based on BP Neural Network Optimized by PSO | 0 |
| 16 | 38 | |
| 17 | 29 | |
| 18 | 128 | |
| 19 | 1 | |
| 20 | China’s Smart Phone Industry Chain and Development | 2 |
About Xiaojun Wen
Xiaojun Wen is a scholar working on Pollution, Business and International Management and Industrial and Manufacturing Engineering, having authored 27 papers that have together received 877 indexed citations. Recurring topics across this work include Coastal wetland ecosystem dynamics (9 papers), Advanced Nanomaterials in Catalysis (8 papers) and Heavy metals in environment (6 papers). The work is most often cited by research in Pollution (453 citations), Geochemistry and Petrology (92 citations) and Health, Toxicology and Mutagenesis (160 citations). Xiaojun Wen has collaborated with scholars based in China and United States. Frequent co-authors include Junhong Bai, Guangliang Zhang, Qingqing Zhao, Jia Jia, Qiongqiong Lu, Xinhui Liu, Jumei Li, Rong Xiao, Lijun You and Zhaoqin Gao. Their work appears in journals such as The Science of The Total Environment, Food Chemistry and Global Change Biology.
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.