Shehzad Khalid

5.7k citations
157 papers · 3.8k · 1 hit paper · h-index 30

Impact in

Papers in

Shehzad Khalid

150 papers receiving 3.6k citations

Shehzad Khalid's Hit Papers

Enhanced Network Anomaly Detection Based on Deep Neural Networks 2018 · 323 citations
3230+2+5Years since publication100200300

Peers

Shehzad Khalid
Comparison fields: 5 of 154
  • Signal Processing 676
  • Ophthalmology 479
  • Computer Vision and Pattern Recognition 936
  • Computer Networks and Communications 1.0k
  • Artificial Intelligence 1.3k
Replace Habib Hamam with:
Habib Hamam Canada
Musaed Alhussein Saudi Arabia
Thien Huynh‐The South Korea
Hari Mohan Pandey United Kingdom
Imran Razzak Australia
Sami Azam Australia
Michele Nappi Italy
Adel Elmaghraby United States
Rajesh Kaluri India
Hoshang Kolivand United Kingdom
Shehzad Khalid relative to Habib Hamam Canada Habib Hamam's profile →
Citations per field
00.5×5.5×
Habib Hamam · 1×
Citations per year

Countries citing papers authored by Shehzad Khalid

Since Specialization
Citations

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

Fields of papers citing papers by Shehzad Khalid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Enhanced Network Anomaly Detection Based on Deep Neural Networks
Hit paper breakdown →
2018323
2 2012211
3 2013207
4 2019158
5 2020156
6 2020144
7 2017114
8 2017110
9 2021108
10 2020103
11 201884
12 200681
13 202171
14 201666
15 201962
16 201359
17 201754
18 201953
19 201552
20 201650

About Shehzad Khalid

Shehzad Khalid is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Computer Networks and Communications, having authored 157 papers that have together received 3.8k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (16 papers), EEG and Brain-Computer Interfaces (13 papers), Advanced Text Analysis Techniques (13 papers), Image Retrieval and Classification Techniques (12 papers), IoT and Edge/Fog Computing (11 papers), Topic Modeling (11 papers), Time Series Analysis and Forecasting (9 papers) and Handwritten Text Recognition Techniques (9 papers). The work is most often cited by research in Signal Processing (676 citations), Ophthalmology (479 citations), Computer Vision and Pattern Recognition (936 citations), Computer Networks and Communications (1.0k citations) and Artificial Intelligence (1.3k citations). Shehzad Khalid has collaborated with scholars based in Pakistan, United Kingdom and South Korea. Frequent co-authors include Sohail Jabbar, Muhammad Usman Akram, Syed Muhammad Usman, Shoab Ahmed Khan, Farhan Ullah, Kijun Han, Muhammad Munwar Iqbal, Muhammad Haseeb Aslam, Yasir Saleem and Muhammad Farhan. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, Pattern Recognition, EURASIP Journal on Wireless Communications and Networking and Sensors.

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.

Explore authors with similar magnitude of impact