Nan Jiang

6.2k citations
208 papers · 3.7k indexed · 2 hit papers · h-index 28

Impact in

Papers in

Nan Jiang

183 papers receiving 3.5k citations

Hit Papers

Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges 2021 · 452 citations
4522013202620172021100200300400500

Peers

Nan Jiang
Comparison fields: 5 of 166
  • Hardware and Architecture 560
  • Computer Networks and Communications 1.2k
  • Computer Vision and Pattern Recognition 772
  • Artificial Intelligence 988
  • Computer Science Applications 129
Replace Costas J. Spanos with:
Costas J. Spanos United States
Cesare Alippi Italy
Minglu Li China
Zhe Liu China
Li Shang United States
Hao Luo China
Yong Guan China
Rick Siow Mong Goh Singapore
Richard P. Martin United States
David Irwin United States
Nan Jiang relative to Costas J. Spanos United States Costas J. Spanos's profile →
Citations per field
00.5×1.6×
Costas J. Spanos · 1×
Citations per year

Countries citing papers authored by Nan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Nan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20244
4 20240
5 20242
6 20241
7 20245
8 20240
9 20241
10 20243
11 202321
12 20235
13 202185
14 202111
15
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
Hit paper breakdown →
2021452
16 202111
17 202181
18
When Counterpoint Meets Chinese Folk Melodies
20203
19 20150
20
Abstraction Selection in Model-based Reinforcement Learning
201515

About Nan Jiang

Nan Jiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Media Technology and Computer Science Applications, having authored 208 papers that have together received 3.7k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (17 papers), Interconnection Networks and Systems (13 papers), Advanced Vision and Imaging (13 papers), Energy Efficient Wireless Sensor Networks (11 papers), Advanced Image and Video Retrieval Techniques (11 papers), Indoor and Outdoor Localization Technologies (10 papers), Topic Modeling (9 papers) and Machine Learning and Algorithms (9 papers). The work is most often cited by research in Hardware and Architecture (560 citations), Computer Networks and Communications (1.2k citations), Computer Vision and Pattern Recognition (772 citations), Artificial Intelligence (988 citations) and Computer Science Applications (129 citations). Nan Jiang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include William J. Dally, John Kim, George Michelogiannakis, Daniel Becker, James Balfour, Brian Towles, Sen Qiu, Zhelong Wang, Hongyu Zhao and Hongkai Zhao. Their work appears in journals such as International Journal of Intelligent Systems, Information Sciences, IEEE Internet of Things Journal, Neurocomputing and Soft Computing.

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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