Xiaolong Ma
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Co-authors
- Yanzhi WangJian TangXue LinNing LiuZhiyuan XuJieping YeJing HuangCecilia Metra
- Topics
- Advanced Neural Network Applications (23 papers)Advanced Memory and Neural Computing (7 papers)Domain Adaptation and Few-Shot Learning (7 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceCommunications of the ACMIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- United StatesChinaMexico
In The Last Decade
Xiaolong Ma
31 papers receiving 681 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 414
- Artificial Intelligence 322
- Electrical and Electronic Engineering 225
- Computational Theory and Mathematics 73
- Computer Networks and Communications 53
Countries citing papers authored by Xiaolong Ma
This map shows the geographic impact of Xiaolong Ma'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 Xiaolong Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolong Ma more than expected).
Fields of papers citing papers by Xiaolong Ma
This network shows the impact of papers produced by Xiaolong Ma. 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 Xiaolong Ma. The network helps show where Xiaolong Ma may publish in the future.
Co-authorship network of co-authors of Xiaolong Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolong Ma. A scholar is included among the top collaborators of Xiaolong Ma 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 Xiaolong Ma. Xiaolong Ma 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 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 48 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 14 | |
| 11 | 55 | |
| 12 | 14 | |
| 13 | A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework. | 2 |
| 14 | 14 | |
| 15 | 13 | |
| 16 | 19 | |
| 17 | 24 | |
| 18 | Non-structured DNN Weight Pruning Considered Harmful | 5 |
| 19 | 17 | |
| 20 | 80 |
About Xiaolong Ma
Xiaolong Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 33 papers that have together received 696 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (23 papers), Advanced Memory and Neural Computing (7 papers) and Domain Adaptation and Few-Shot Learning (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (414 citations), Computational Mathematics (6 citations) and Artificial Intelligence (322 citations). Xiaolong Ma has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Yanzhi Wang, Jian Tang, Xue Lin, Ning Liu, Zhiyuan Xu, Jieping Ye, Jing Huang, Cecilia Metra, Fabrizio Lombardi and Kaisheng Ma. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and IEEE Transactions on Geoscience and Remote Sensing.
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.