Ding Liu

5.2k citations
256 papers · 3.6k · h-index 30

Impact in

Papers in

Ding Liu

227 papers receiving 3.4k citations

Peers

Ding Liu
Comparison fields: 5 of 155
  • Computer Vision and Pattern Recognition 1.0k
  • Signal Processing 379
  • Safety, Risk, Reliability and Quality 311
  • Media Technology 301
  • Industrial and Manufacturing Engineering 312
Replace Kunfeng Wang with:
Kunfeng Wang China
Hai Wang China
Jiachen Yang China
C. Krishna Mohan India
Bo Tang United States
Siheng Chen China
Jürgen Beyerer Germany
Hichem Snoussi France
Mohammad Khishe Iran
Kezhi Mao Singapore
Ding Liu relative to Kunfeng Wang China Kunfeng Wang's profile →
Citations per field
00.5×1.5×2.1×
Kunfeng Wang · 1×
Citations per year

Countries citing papers authored by Ding Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ding Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ding Liu, 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 Ding Liu Line = papers co-authored together Ding Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 256 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009239
2
Non-local recurrent network for image restoration
2018173
3 2019173
4 2018140
5 2018121
6
Syntactic Features for Evaluation of Machine Translation
2005113
7 2018102
8 201789
9 201786
10 201784
11 201772
12 202269
13 201767
14 200963
15
Semantic Role Features for Machine Translation
201062
16 202360
17 202059
18 201957
19 202055
20 202251

About Ding Liu

Ding Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering and Mechanical Engineering, having authored 256 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Algorithms and Applications (20 papers), Image Processing Techniques and Applications (17 papers), Robotics and Sensor-Based Localization (15 papers), Fault Detection and Control Systems (14 papers), Image and Object Detection Techniques (14 papers), Solidification and crystal growth phenomena (13 papers), Advanced Control Systems Optimization (13 papers) and Advanced Vision and Imaging (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Signal Processing (379 citations), Safety, Risk, Reliability and Quality (311 citations), Media Technology (301 citations) and Industrial and Manufacturing Engineering (312 citations). Ding Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Junli Liang, Han Liu, Daniel Gildea, Jing Xin, Youmin Zhang, Bihan Wen, Yin Wan, Ying-En Ge, Yingmin Yi and Fangqiu Xu. Their work appears in journals such as IEEE Transactions on Semiconductor Manufacturing, IEEE Sensors Journal, IEEE Transactions on Instrumentation and Measurement, Sensors and Energies.

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.

Explore authors with similar magnitude of impact