Fengjun Shang

595 citations
36 papers · 379 · h-index 11

Impact in

Papers in

Fengjun Shang

27 papers receiving 348 citations

Peers

Fengjun Shang
Comparison fields: 5 of 44
  • Computer Networks and Communications 232
  • Analytical Chemistry 30
  • Plant Science 86
  • Electrical and Electronic Engineering 127
  • Artificial Intelligence 41
Replace Aymen I. Zreikat with:
Aymen I. Zreikat Kuwait
Pranav M. Pawar United Arab Emirates
Yun-Wei Lin Taiwan
Vishal Pallagani United States
Mamatha Balachandra India
Ailing Xiao China
Roopali Dogra India
Lovepreet Kaur India
B. Baranidharan India
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Citations per field
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Aymen I. Zreikat · 1×
Citations per year

Countries citing papers authored by Fengjun Shang

Since Specialization
Citations

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

Fields of papers citing papers by Fengjun Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202287
2 201174
3 201730
4 202125
5 200824
6 201018
7 202215
8 202213
9 201811
10 202310
11 202310
12 20129
13 20187
14 20096
15 20175
16 20244
17 20134
18 20204
19 20203
20 20243

About Fengjun Shang

Fengjun Shang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 379 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (18 papers), Mobile Ad Hoc Networks (11 papers), Security in Wireless Sensor Networks (6 papers), IoT and Edge/Fog Computing (5 papers), Energy Harvesting in Wireless Networks (5 papers), Network Security and Intrusion Detection (4 papers), Software-Defined Networks and 5G (4 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Computer Networks and Communications (232 citations), Analytical Chemistry (30 citations), Plant Science (86 citations), Electrical and Electronic Engineering (127 citations) and Artificial Intelligence (41 citations). Fengjun Shang has collaborated with scholars based in China, Australia and Ireland. Frequent co-authors include Ahmed A. Abd El‐Latif, Mohammed Saleh Ali Muthanna, Mashael Khayyat, Mehdhar S. A. M. Al-Gaashani, Ying Wang, Lei Yang, Dan Zhou, Jianbo Liu, Mehran Abolhasan and Tadeusz A. Wysocki. Their work appears in journals such as Future Generation Computer Systems, Neural Computing and Applications, Computer Standards & Interfaces, Neurocomputing and Vehicular Communications.

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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