Linjian Ma

731 citations
12 papers · 367 indexed · 1 hit paper · h-index 7
Topics
Tensor decomposition and applications (6 papers)Parallel Computing and Optimization Techniques (4 papers)Advanced Neural Network Applications (3 papers)
Partner nations
United StatesChina

In The Last Decade

Linjian Ma

11 papers receiving 343 citations

Hit Papers

Q-BERT: Hessian Based Ultra Low Precision Quantization of...2020202620222024202050100150200

Peers

Linjian Ma
Comparison fields: 5 of 88
  • Artificial Intelligence 200
  • Computer Vision and Pattern Recognition 165
  • Electrical and Electronic Engineering 34
  • Computational Mathematics 21
  • Information Systems 20
Replace Haoli Bai with:
Haoli Bai China
Tianyun Zhang United States
Wenlin Wang China
Jiazhen Lin China
Shangqian Gao United States
Jinwei Xu China
Chaoqun Hong China
Jui-Hsin Lai Taiwan
Yifan Fu Australia
Hailin Zhang China
Linjian Ma relative to Haoli Bai China Haoli Bai's profile →
Citations per field
00.5×4.2×
Haoli Bai · 1×
Citations per year

Countries citing papers authored by Linjian Ma

Since Specialization
Citations

This map shows the geographic impact of Linjian 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 Linjian Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linjian Ma more than expected).

Fields of papers citing papers by Linjian Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linjian 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 Linjian Ma. The network helps show where Linjian Ma may publish in the future.

Co-authorship network of co-authors of Linjian Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Linjian Ma. A scholar is included among the top collaborators of Linjian 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 Linjian Ma. Linjian Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 2
3 11
4 3
5 6
6 3
7 6
8 7
9 8
10
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERTbreakdown →
223
11 79
12 19

About Linjian Ma

Linjian Ma is a scholar working on Computational Mathematics, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 367 indexed citations. Recurring topics across this work include Tensor decomposition and applications (6 papers), Parallel Computing and Optimization Techniques (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computational Mathematics (21 citations), Computer Vision and Pattern Recognition (165 citations) and Artificial Intelligence (200 citations). Linjian Ma has collaborated with scholars based in United States and China. Frequent co-authors include Michael W. Mahoney, Kurt Keutzer, Amir Gholami, Jiayu Ye, Zhewei Yao, Zhen Dong, Sheng Shen, Xiaoyan Zhang, Hongji Wang and Edgar Solomonik. Their work appears in journals such as Journal of The Electrochemical Society, SIAM Journal on Scientific Computing and Journal of Vision.

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.

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