Da Ren

958 citations
41 papers · 603 · h-index 14

Impact in

Papers in

Da Ren

36 papers receiving 550 citations

Peers

Da Ren
Comparison fields: 5 of 80
  • Management Information Systems 151
  • Strategy and Management 146
  • Metals and Alloys 23
  • Marketing 64
  • Control and Systems Engineering 116
Replace Rafael Batres with:
Rafael Batres Japan
Vince Thomson Canada
K. S. Ravichandran India
Franco Lombardi Italy
Hossein Seifi Davari Iran
Tarun Gupta United States
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Yongzhong Wu China
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Da Ren relative to Rafael Batres Japan Rafael Batres's profile →
Citations per field
00.5×4.3×
Rafael Batres · 1×
Citations per year

Countries citing papers authored by Da Ren

Since Specialization
Citations

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

Fields of papers citing papers by Da Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021127
2 199461
3 202357
4 202450
5 202146
6 201835
7
Investigation of a Low-Cost and High-Accuracy GPS/IMU System
199728
8 199524
9 200519
10 201914
11
Design and Analysis of a High-Accuracy Airborne GPS/INS System
199613
12 201613
13 199513
14 202013
15 199611
16 202310
17 20169
18 19959
19 20229
20 20178

About Da Ren

Da Ren is a scholar working on Artificial Intelligence, Control and Systems Engineering, Aerospace Engineering, Mechanical Engineering and Statistics, Probability and Uncertainty, having authored 41 papers that have together received 603 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (11 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers), Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Advanced Statistical Process Monitoring (4 papers), Control Systems and Identification (4 papers), GNSS positioning and interference (4 papers) and Microstructure and Mechanical Properties of Steels (4 papers). The work is most often cited by research in Management Information Systems (151 citations), Strategy and Management (146 citations), Metals and Alloys (23 citations), Marketing (64 citations) and Control and Systems Engineering (116 citations). Da Ren has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Yanfei Lan, Ching-Fang Lin, Zhiming Zhang, Wei Xu, Chenchong Wang, Xiaolu Wei, Rui Guo, Qingquan Lai, Siyu Han and G. Dedes. Their work appears in journals such as Journal of Guidance Control and Dynamics, Physica A Statistical Mechanics and its Applications, Computational Materials Science, STRUCTURAL ENGINEERING AND MECHANICS and Omega.

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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