Kaili Jiang

417 citations
40 papers · 279 · h-index 10

Impact in

Papers in

Kaili Jiang

35 papers receiving 277 citations

Peers

Kaili Jiang
Comparison fields: 5 of 57
  • Aerospace Engineering 144
  • Electrical and Electronic Engineering 118
  • Signal Processing 16
  • Hematology 15
  • Artificial Intelligence 44
Replace Hamidreza Saligheh Rad with:
Hamidreza Saligheh Rad Iran
Yi-Ran Sun China
Ruiqin Zhao China
Rahuldeb Sarkar India
Afaz Uddin Ahmed Malaysia
Xueqiang Chen China
Yaxi Liu China
Hongliang Xu China
Yicheng Zhang China
Md. Ahasan Kabir Bangladesh
Kaili Jiang relative to Hamidreza Saligheh Rad Iran Hamidreza Saligheh Rad's profile →
Citations per field
00.5×
Hamidreza Saligheh Rad · 1×
Citations per year

Countries citing papers authored by Kaili Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Kaili Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201851
2 201936
3 202117
4 202017
5 202115
6 202110
7 201810
8 202010
9 201910
10 20219
11 20188
12 20237
13 20217
14 20167
15 20166
16 20255
17 20195
18 20215
19 20245
20 20224

About Kaili Jiang

Kaili Jiang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computational Mechanics, Aerospace Engineering and Signal Processing, having authored 40 papers that have together received 279 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (10 papers), Wireless Signal Modulation Classification (10 papers), Radar Systems and Signal Processing (7 papers), Millimeter-Wave Propagation and Modeling (6 papers), Blind Source Separation Techniques (6 papers), Advanced SAR Imaging Techniques (5 papers), Microwave Imaging and Scattering Analysis (4 papers) and Advanced MIMO Systems Optimization (4 papers). The work is most often cited by research in Aerospace Engineering (144 citations), Electrical and Electronic Engineering (118 citations), Signal Processing (16 citations), Hematology (15 citations) and Artificial Intelligence (44 citations). Kaili Jiang has collaborated with scholars based in China, United Kingdom and Malaysia. Frequent co-authors include Qiuming Zhu, Weizhi Zhong, Bin Tang, Ying Xiong, Ke Ding, Zhengchao Tu, Zhang Zhang, Zeyu Dong, Pan Luo and Xiaomei Ren. Their work appears in journals such as Remote Sensing, Defence Technology, IEEE Access, IEEE Transactions on Aerospace and Electronic Systems and ACS Medicinal Chemistry Letters.

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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