Sheheryar Khan

998 citations
50 papers · 559 indexed · 1 hit paper · h-index 13
Topics
Aeroelasticity and Vibration Control (5 papers)Video Surveillance and Tracking Methods (5 papers)Osteoarthritis Treatment and Mechanisms (5 papers)
Partner nations
Hong KongPakistanCanada

In The Last Decade

Sheheryar Khan

46 papers receiving 544 citations

Hit Papers

AI in drug discovery and its clinical relevance202320262024202520234080120

Peers

Sheheryar Khan
Comparison fields: 5 of 124
  • Computer Vision and Pattern Recognition 110
  • Electrical and Electronic Engineering 88
  • Molecular Biology 74
  • Biomedical Engineering 69
  • Computational Theory and Mathematics 64
Replace Hongyu Wang with:
Hongyu Wang China
Shidin Balakrishnan Qatar
Jinyong Cheng China
M. Sultan Zia Pakistan
Chien-Cheng Lee Taiwan
Abhishek Gupta India
Susana K. Lai-Yuen United States
Maria Valueva Russia
Georgii Valuev Russia
Meihong Wu China
Sheheryar Khan relative to Hongyu Wang China Hongyu Wang's profile →
Citations per field
00.5×10.7×
Hongyu Wang · 1×
Citations per year

Countries citing papers authored by Sheheryar Khan

Since Specialization
Citations

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

Fields of papers citing papers by Sheheryar Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheheryar Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Sheheryar Khan. A scholar is included among the top collaborators of Sheheryar Khan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sheheryar Khan. Sheheryar Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2 2
3 2
4 2
5 0
6 0
7 4
8 2
9 12
10 2
11
AI in drug discovery and its clinical relevancebreakdown →
125
12 73
13 7
14 6
15 11
16 7
17 16
18 1
19
Efficient Position Based Operation Code Authentication
1
20 1

About Sheheryar Khan

Sheheryar Khan is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Family Practice, having authored 50 papers that have together received 559 indexed citations. Recurring topics across this work include Aeroelasticity and Vibration Control (5 papers), Video Surveillance and Tracking Methods (5 papers) and Osteoarthritis Treatment and Mechanisms (5 papers). The work is most often cited by research in Health Informatics (27 citations), Computational Mathematics (9 citations) and Computer Vision and Pattern Recognition (110 citations). Sheheryar Khan has collaborated with scholars based in Hong Kong, Pakistan and Canada. Frequent co-authors include Hong Yan, Rizwan Qureshi, Jia Wu, Tanvir Alam, Taimoor Muzaffar Gondal, Muhammad Usman Hadi, Muhammad Irfan, Xiuning Le, John V. Heymach and Lijiang Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Expert Systems with Applications.

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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