Bülthoff Chen M
Impact in
- Computer Networks and Communications top 0.01%
- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Energy Efficient Wireless Sensor Networks
- Opportunistic and Delay-Tolerant Networks
- Cooperative Communication and Network Coding
Papers in
-
- IoT and Edge/Fog Computing 103
- Energy Efficient Wireless Sensor Networks 76
- Caching and Content Delivery 68
- Mobile Ad Hoc Networks 65
- Opportunistic and Delay-Tolerant Networks 56
- Cooperative Communication and Network Coding 48
- Co-authors
- Yixue Hao (67 shared papers)Victor C. M. Leung (93 shared papers)Shiwen Mao (30 shared papers)Yunhao Liu (1 shared paper)Yong Li (22 shared papers)Di Wu (46 shared papers)Xiaofei Wang (22 shared papers)Yin Zhang⋆ (40 shared papers)
- Journals
- IEEE Access (21 papers)Mobile Networks and Applications (18 papers)IEEE Network (18 papers)IEEE Wireless Communications (14 papers)IEEE Internet of Things Journal (13 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Bülthoff Chen M
1.0k papers receiving 38.0k citations
Bülthoff Chen M's Hit Papers
Peers
Comparison fields: 5 of 233
- Computer Networks and Communications 15.8k
- Computer Vision and Pattern Recognition 5.9k
- Health Information Management 1.1k
- Information Systems 5.2k
- Health Informatics 257
Countries citing papers authored by Bülthoff Chen M
This map shows the geographic impact of Bülthoff Chen M'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 Bülthoff Chen M with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bülthoff Chen M more than expected).
Fields of papers citing papers by Bülthoff Chen M
This network shows the impact of papers produced by Bülthoff Chen M. 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 Bülthoff Chen M. The network helps show where Bülthoff Chen M may publish in the future.
Co-authors
The 25 scholars most cited alongside Bülthoff Chen M, 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 1.1k papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Big Data: A Survey Hit paper breakdown → | 2014 | 2184 |
| 2 | Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 novel coronavirus disease outbreak: A cross-sectional study Hit paper breakdown → | 2020 | 1129 |
| 3 | Body Area Networks: A Survey Hit paper breakdown → | 2010 | 1091 |
| 4 | Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network Hit paper breakdown → | 2018 | 912 |
| 5 | Cache in the air: exploiting content caching and delivery techniques for 5G systems Hit paper breakdown → | 2014 | 903 |
| 6 | Disease Prediction by Machine Learning Over Big Data From Healthcare Communities Hit paper breakdown → | 2017 | 860 |
| 7 | In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning Hit paper breakdown → | 2019 | 854 |
| 8 | Brain Intelligence: Go beyond Artificial Intelligence Hit paper breakdown → | 2017 | 847 |
| 9 | Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures Hit paper breakdown → | 2016 | 787 |
| 10 | Guidelines for the Diagnosis and Treatment of Hepatocellular Carcinoma (2019 Edition) Hit paper breakdown → | 2020 | 618 |
| 11 | A Survey on Internet of Things From Industrial Market Perspective Hit paper breakdown → | 2014 | 516 |
| 12 | Software-Defined Network Function Virtualization: A Survey Hit paper breakdown → | 2015 | 393 |
| 13 | Narrow Band Internet of Things Hit paper breakdown → | 2017 | 392 |
| 14 | 2016 | 348 | |
| 15 | Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network Hit paper breakdown → | 2017 | 347 |
| 16 | Guidelines for the Diagnosis and Treatment of Primary Liver Cancer (2022 Edition) Hit paper breakdown → | 2023 | 305 |
| 17 | 2011 | 287 | |
| 18 | 2017 | 267 | |
| 19 | 2012 | 250 | |
| 20 | 2018 | 245 |
About Bülthoff Chen M
Bülthoff Chen M is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Electrical and Electronic Engineering and Signal Processing, having authored 1.1k papers that have together received 39.4k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (103 papers), Energy Efficient Wireless Sensor Networks (76 papers), Caching and Content Delivery (68 papers), Mobile Ad Hoc Networks (65 papers), Opportunistic and Delay-Tolerant Networks (56 papers), Cooperative Communication and Network Coding (48 papers), Advanced MIMO Systems Optimization (41 papers) and Cloud Computing and Resource Management (39 papers). The work is most often cited by research in Computer Networks and Communications (15.8k citations), Computer Vision and Pattern Recognition (5.9k citations), Health Information Management (1.1k citations), Information Systems (5.2k citations) and Health Informatics (257 citations). Bülthoff Chen M has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yixue Hao, Victor C. M. Leung, Shiwen Mao, Yunhao Liu, Yong Li, Di Wu, Xiaofei Wang, Yin Zhang⋆, S. Gonzalez and Kai Hwang. Their work appears in journals such as IEEE Access, Mobile Networks and Applications, IEEE Network, IEEE Wireless Communications and IEEE Internet of Things 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.