Zohaib Jan

807 citations
19 papers · 475 · 1 hit paper · h-index 10

Impact in

Papers in

Zohaib Jan

19 papers receiving 456 citations

Zohaib Jan's Hit Papers

Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities 2022 · 296 citations
2960+1+2Years since publication50100150200250

Peers

Zohaib Jan
Comparison fields: 5 of 93
  • Industrial and Manufacturing Engineering 108
  • Health Informatics 11
  • Management Information Systems 44
  • Artificial Intelligence 119
  • Computational Mathematics 2
Replace Adrien Bécue with:
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Jorge Ribeiro Portugal
Jiayuan Chen China
Nurhizam Safie Malaysia
Aniekan Essien United Kingdom
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Countries citing papers authored by Zohaib Jan

Since Specialization
Citations

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

Fields of papers citing papers by Zohaib Jan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Zohaib Jan, 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 Zohaib Jan Line = papers co-authored together Zohaib Jan links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities
Hit paper breakdown →
2022296
2 202223
3 202022
4 201920
5 202417
6 201816
7
The Impact of Social Networking to Influence Marketing through Product Reviews
201215
8 202013
9 201312
10 201911
11 20199
12 20207
13 20205
14 20192
15 20192
16 20192
17
Tunable and Growing Network Generation Model with Community Structures
20131
18 20201
19 20131

About Zohaib Jan

Zohaib Jan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Civil and Structural Engineering and Transportation, having authored 19 papers that have together received 475 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Machine Learning and Data Classification (6 papers), Metaheuristic Optimization Algorithms Research (4 papers), Complex Network Analysis Techniques (3 papers), Infrastructure Maintenance and Monitoring (2 papers), Digital Transformation in Industry (2 papers), Evolutionary Algorithms and Applications (2 papers) and Human Mobility and Location-Based Analysis (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (108 citations), Health Informatics (11 citations), Management Information Systems (44 citations), Artificial Intelligence (119 citations) and Computational Mathematics (2 citations). Zohaib Jan has collaborated with scholars based in Australia, Pakistan and United States. Frequent co-authors include Farhad Ahamed, Markus Stumptner, Niki Patel, Georg Großmann, Wolfgang Mayer, Brijesh Verma, Farnaz Farid, Seyed Shahrestani, Mohib Ullah and Faraz Zaidi. Their work appears in journals such as Array, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Neural Networks and Learning Systems, IEEE Access and Pattern Recognition.

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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