Ting Jiang

2.7k citations
195 papers · 1.9k · h-index 22

Impact in

Papers in

Ting Jiang

180 papers receiving 1.8k citations

Peers

Ting Jiang
Comparison fields: 5 of 150
  • Computational Mathematics 105
  • Signal Processing 262
  • Computer Vision and Pattern Recognition 373
  • Artificial Intelligence 488
  • Computer Networks and Communications 319
Replace Jianhua Zou with:
Jianhua Zou China
Xinxin Feng China
Feng Yin China
Yuanyuan Liu China
Chong‐Ho Choi South Korea
Wenli Xu China
Pan Zhou China
Yong Luo China
Yahong Han China
Zihan Zhou China
Ting Jiang relative to Jianhua Zou China Jianhua Zou's profile →
Citations per field
00.5×3.4×
Jianhua Zou · 1×
Citations per year

Countries citing papers authored by Ting Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ting Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 195 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004149
2 2022107
3 201794
4 202293
5 202168
6 201741
7 201640
8 202137
9 202336
10 201735
11 202035
12 202232
13 201731
14 201730
15 202329
16 201828
17 201827
18 201327
19 201426
20 202224

About Ting Jiang

Ting Jiang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, having authored 195 papers that have together received 1.9k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (50 papers), Speech and Audio Processing (23 papers), Ultra-Wideband Communications Technology (20 papers), Wireless Communication Security Techniques (18 papers), Context-Aware Activity Recognition Systems (13 papers), Microwave Imaging and Scattering Analysis (12 papers), Radar Systems and Signal Processing (11 papers) and Millimeter-Wave Propagation and Modeling (10 papers). The work is most often cited by research in Computational Mathematics (105 citations), Signal Processing (262 citations), Computer Vision and Pattern Recognition (373 citations), Artificial Intelligence (488 citations) and Computer Networks and Communications (319 citations). Ting Jiang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yi Zhong, Nicholas D. Sidiropoulos, Ning Wang, Shichao Lv, Deqing Wang, Xiaojian Zhou, Zheng Zhou, Liang Xiao, Yan Huang and Siliang Wu. Their work appears in journals such as Measurement, IEEE Access, EURASIP Journal on Wireless Communications and Networking, Journal of Mathematical Analysis and Applications and IEEE Internet of Things Journal.

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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