Jin Wei

1.8k citations
46 papers · 1.4k indexed · 1 hit paper · h-index 15

Impact in

Papers in

Jin Wei

45 papers receiving 1.3k citations

Hit Papers

Real-Time Detection of False Data Injection Attacks in Smart Grid: A Deep Learning-Based Intelligent Mechanism 2017 · 594 citations
5942017202620202023100200300400500

Peers

Jin Wei
Comparison fields: 5 of 75
  • Control and Systems Engineering 840
  • Computer Networks and Communications 556
  • Artificial Intelligence 407
  • Electrical and Electronic Engineering 655
  • Signal Processing 104
Replace Jie Tang with:
Jie Tang China
Mihalis Psarakis Greece
Imtiaz Parvez United States
Yasin Yılmaz United States
Suleyman Uludag United States
Junho Hong United States
Liang Hu United Kingdom
Jiwei Tian China
Zeyu Mao United States
Mohammad Pirani Canada
Jin Wei relative to Jie Tang China Jie Tang's profile →
Citations per field
00.5×1.5×2.5×
Jie Tang · 1×
Citations per year

Countries citing papers authored by Jin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Jin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202013
2 20202
3 202011
4 202011
5 201815
6 201821
7 20185
8 20175
9 20178
10 20174
11 201793
12 20163
13 201650
14 20155
15 201474
16 201431
17 20135
18 201234
19 201216
20
VPRSM BASED DECISION TREE CLASSIFIER
20071

About Jin Wei

Jin Wei is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Smart Grid Security and Resilience (21 papers), Network Security and Intrusion Detection (9 papers), Software-Defined Networks and 5G (8 papers), Caching and Content Delivery (7 papers), Power System Optimization and Stability (7 papers), Microgrid Control and Optimization (5 papers), Blockchain Technology Applications and Security (5 papers) and Smart Grid Energy Management (4 papers). The work is most often cited by research in Control and Systems Engineering (840 citations), Computer Networks and Communications (556 citations), Artificial Intelligence (407 citations), Electrical and Electronic Engineering (655 citations) and Signal Processing (104 citations). Jin Wei has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Gihan J. Mendis, Youbiao He, Deepa Kundur, Arjuna Madanayake, Karen L. Butler-Purry, Takis Zourntos, Bri‐Mathias Hodge, Tarek Elgindy, Zhaoqi Wu and S M Shafiul Alam. Their work appears in journals such as IEEE Transactions on Smart Grid, IEEE Journal of Selected Topics in Signal Processing, IEEE Internet of Things Journal, Energies and Electronics.

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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