Haining Meng
Impact in
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery
Papers in
-
- Software System Performance and Reliability 5
- IoT and Edge/Fog Computing 2
-
- Cloud Computing and Resource Management 6
- Co-authors
- Xinhong Hei (14 shared papers)Liansheng Sui (2 shared papers)Junli Liang (1 shared paper)Kuaikuai Duan (1 shared paper)Zhiqiang Zhang (1 shared paper)Lu Luo (1 shared paper)Bei Zhang (4 shared papers)Meiying Song (6 shared papers)
- Journals
- International Immunopharmacology (3 papers)OncoTargets and Therapy (2 papers)Carbohydrate Polymers (1 paper)Gut Microbes (1 paper)Optics and Lasers in Engineering (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Haining Meng
37 papers receiving 414 citations
Peers
Comparison fields: 5 of 113
- Rehabilitation 37
- Software 14
- Radiological and Ultrasound Technology 13
- Computer Vision and Pattern Recognition 59
- Neurology 18
Countries citing papers authored by Haining Meng
This map shows the geographic impact of Haining Meng'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 Haining Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haining Meng more than expected).
Fields of papers citing papers by Haining Meng
This network shows the impact of papers produced by Haining Meng. 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 Haining Meng. The network helps show where Haining Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Haining Meng, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 65 | |
| 2 | 2014 | 53 | |
| 3 | 2023 | 37 | |
| 4 | 2022 | 37 | |
| 5 | 2022 | 23 | |
| 6 | 2019 | 21 | |
| 7 | 2023 | 19 | |
| 8 | 2019 | 17 | |
| 9 | 2023 | 15 | |
| 10 | 2019 | 12 | |
| 11 | 2014 | 11 | |
| 12 | 2024 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2014 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2015 | 5 | |
| 20 | 2017 | 5 |
About Haining Meng
Haining Meng is a scholar working on Computer Networks and Communications, Information Systems, Molecular Biology, Oncology and Building and Construction, having authored 40 papers that have together received 420 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (6 papers), Software System Performance and Reliability (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Software Reliability and Analysis Research (4 papers), Traffic Prediction and Management Techniques (3 papers), Railway Engineering and Dynamics (3 papers), IoT and Edge/Fog Computing (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Rehabilitation (37 citations), Software (14 citations), Radiological and Ultrasound Technology (13 citations), Computer Vision and Pattern Recognition (59 citations) and Neurology (18 citations). Haining Meng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xinhong Hei, Liansheng Sui, Junli Liang, Kuaikuai Duan, Zhiqiang Zhang, Lu Luo, Bei Zhang, Meiying Song, Qiang Wang and Yuyang Wang. Their work appears in journals such as International Immunopharmacology, OncoTargets and Therapy, Carbohydrate Polymers, Gut Microbes and Optics and Lasers in Engineering.
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.