Jingjing Wang

25.5k citations
899 papers · 17.7k indexed · 7 hit papers · h-index 62

Impact in

Papers in

Jingjing Wang

806 papers receiving 17.4k citations

Hit Papers

Age of Information Based URLLC Transmission for UAVs on Pylon Turn 2024 · 59 citations
592017202620202023100200300

Peers

Jingjing Wang
Comparison fields: 5 of 216
  • Computer Networks and Communications 4.0k
  • Aerospace Engineering 3.4k
  • Electrical and Electronic Engineering 5.5k
  • Computer Vision and Pattern Recognition 1.4k
  • Automotive Engineering 631
Replace Muhammad Ali Imran with:
Muhammad Ali Imran United Kingdom
Jiajia Liu China
Ben Niu China
Shuai Liu China
YangQuan Chen United States
Qiang Zhang China
Ning Wang China
Shuo Li China
Бо Лю China
Yingying Chen United States
Jingjing Wang relative to Muhammad Ali Imran United Kingdom Muhammad Ali Imran's profile →
Citations per field
00.5×1.5×2.4×
Muhammad Ali Imran · 1×
Citations per year

Countries citing papers authored by Jingjing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jingjing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20250
4 20250
5 20244
6 20244
7 202411
8 20241
9 202421
10 20241
11 20248
12 202310
13 202320
14 202313
15 202358
16 20234
17 202360
18 20230
19 202018
20 20182

About Jingjing Wang

Jingjing Wang is a scholar working on Computer Networks and Communications, Aerospace Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 899 papers that have together received 17.7k indexed citations. Recurring topics across this work include UAV Applications and Optimization (65 papers), Nanoplatforms for cancer theranostics (46 papers), Advanced Battery Materials and Technologies (44 papers), Advancements in Battery Materials (40 papers), IoT and Edge/Fog Computing (34 papers), Advanced Wireless Communication Technologies (31 papers), Advanced MIMO Systems Optimization (28 papers) and Distributed Control Multi-Agent Systems (27 papers). The work is most often cited by research in Computer Networks and Communications (4.0k citations), Aerospace Engineering (3.4k citations), Electrical and Electronic Engineering (5.5k citations), Computer Vision and Pattern Recognition (1.4k citations) and Automotive Engineering (631 citations). Jingjing Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chunxiao Jiang, Yong Ren, Lajos Hanzo, Haipeng Yao, Zhu Han, Xiangwang Hou, Zhengru Fang, Xifei Li, Jun Du and Xiaohong Chen. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Network, Nano Energy and PLoS ONE.

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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