Heng Xia
Impact in
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- Municipal Solid Waste Management
- Recycling and Waste Management Techniques
- Environmental Engineering top 10%
- Air Quality Monitoring and Forecasting
Papers in
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- Municipal Solid Waste Management 22
- Water Quality Monitoring and Analysis 10
- Recycling and Waste Management Techniques 8
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- Machine Learning and ELM 13
- Neural Networks and Applications 8
- Co-authors
- Jian Tang (56 shared papers)Loai Aljerf (10 shared papers)Wen Yu (20 shared papers)Junfei Qiao (17 shared papers)Prince Onyedinma Ukaogo (4 shared papers)Tianzheng Wang (13 shared papers)Jiakun Chen (5 shared papers)Dandan Wang (1 shared paper)
In The Last Decade
Heng Xia
59 papers receiving 685 citations
Peers
Comparison fields: 5 of 78
- Industrial and Manufacturing Engineering 207
- Environmental Engineering 101
- Process Chemistry and Technology 17
- Building and Construction 70
- Health, Toxicology and Mutagenesis 58
Countries citing papers authored by Heng Xia
This map shows the geographic impact of Heng Xia'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 Heng Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heng Xia more than expected).
Fields of papers citing papers by Heng Xia
This network shows the impact of papers produced by Heng Xia. 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 Heng Xia. The network helps show where Heng Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Heng Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 76 | |
| 2 | 2022 | 51 | |
| 3 | 2023 | 50 | |
| 4 | 2023 | 49 | |
| 5 | 2023 | 43 | |
| 6 | 2023 | 39 | |
| 7 | 2022 | 38 | |
| 8 | 2020 | 35 | |
| 9 | 2021 | 31 | |
| 10 | 2024 | 19 | |
| 11 | 2023 | 18 | |
| 12 | 2023 | 16 | |
| 13 | 2022 | 16 | |
| 14 | 2024 | 15 | |
| 15 | 2024 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2023 | 11 | |
| 19 | 2024 | 11 | |
| 20 | 2022 | 10 |
About Heng Xia
Heng Xia is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Control and Systems Engineering, Environmental Engineering and Safety, Risk, Reliability and Quality, having authored 70 papers that have together received 693 indexed citations. Recurring topics across this work include Municipal Solid Waste Management (22 papers), Air Quality Monitoring and Forecasting (14 papers), Machine Learning and ELM (13 papers), Water Quality Monitoring and Analysis (10 papers), Neural Networks and Applications (8 papers), Fault Detection and Control Systems (8 papers), Recycling and Waste Management Techniques (8 papers) and Fire Detection and Safety Systems (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (207 citations), Environmental Engineering (101 citations), Process Chemistry and Technology (17 citations), Building and Construction (70 citations) and Health, Toxicology and Mutagenesis (58 citations). Heng Xia has collaborated with scholars based in China, Mexico and Syria. Frequent co-authors include Jian Tang, Loai Aljerf, Wen Yu, Junfei Qiao, Prince Onyedinma Ukaogo, Tianzheng Wang, Jiakun Chen, Dandan Wang, Mulugeta Legesse Akele and Runyu Zhang. Their work appears in journals such as Sustainability, Neural Computing and Applications, Engineering Applications of Artificial Intelligence, IEEE Transactions on Instrumentation and Measurement and IEEE Transactions on Industrial Informatics.
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.