Yanjun Ma

93 papers receiving 1.9k citations

Peers

Yanjun Ma
Comparison fields: 5 of 117
  • Filtration and Separation 94
  • Radiation 225
  • Artificial Intelligence 659
  • Atomic and Molecular Physics, and Optics 467
  • Surfaces, Coatings and Films 93
Replace Bernard Lang with:
Bernard Lang France
Kamal Choudhary United States
Kazuhiko Mase Japan
T. Kato Japan
Amit Agrawal United States
Simon Batzner United States
Hiroyuki Mizuno Japan
Myung Soo Kim South Korea
Lei Zhao China
V. Ivanchenko Russia
Yanjun Ma relative to Bernard Lang France Bernard Lang's profile →
Citations per field
00.5×10×15×20×23.5×
Bernard Lang · 1×
Citations per year

Countries citing papers authored by Yanjun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yanjun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yanjun Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yanjun Ma Line = papers co-authored together Yanjun Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992209
2 2019182
3 1996113
4 2018105
5 199190
6 199778
7 199256
8 201955
9 202152
10
Bridging SMT and TM with Translation Recommendation
201052
11 201751
12 201848
13 199247
14
MaTrEx: the DCU Machine Translation System for IWSLT 2007
200646
15 198546
16 198744
17
Consistent Translation using Discriminative Learning - A Translation Memory-inspired Approach
201132
18
Bootstrapping Word Alignment via Word Packing
200732
19 202331
20 201831

About Yanjun Ma

Yanjun Ma is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Control and Systems Engineering and Materials Chemistry, having authored 96 papers that have together received 2.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (30 papers), Topic Modeling (29 papers), Advanced Fiber Laser Technologies (12 papers), Fault Detection and Control Systems (10 papers), Solid State Laser Technologies (10 papers), Photorefractive and Nonlinear Optics (7 papers), X-ray Diffraction in Crystallography (7 papers) and Biomedical Text Mining and Ontologies (7 papers). The work is most often cited by research in Filtration and Separation (94 citations), Radiation (225 citations), Artificial Intelligence (659 citations), Atomic and Molecular Physics, and Optics (467 citations) and Surfaces, Coatings and Films (93 citations). Yanjun Ma has collaborated with scholars based in United States, China and Ireland. Frequent co-authors include Andy Way, Edward A. Stern, Biao Huang, Dianhai Yu, Haifeng Wang, Shunyi Zhao, Josef van Genabith, M. Newville, John L. Fulton and David M. Pfund. Their work appears in journals such as Physical review. B, Condensed matter, Physical Review Letters, IEEE Transactions on Industrial Informatics, Laser Physics Letters and Physica B Condensed Matter.

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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