Adnan Zeb

1.5k total citations · 1 hit paper
34 papers, 972 citations indexed

About

Adnan Zeb is a scholar working on Plant Science, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Adnan Zeb has authored 34 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 7 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Adnan Zeb's work include Smart Agriculture and AI (9 papers), Plant Disease Management Techniques (7 papers) and Advanced Graph Neural Networks (5 papers). Adnan Zeb is often cited by papers focused on Smart Agriculture and AI (9 papers), Plant Disease Management Techniques (7 papers) and Advanced Graph Neural Networks (5 papers). Adnan Zeb collaborates with scholars based in China, United States and Pakistan. Adnan Zeb's co-authors include Defu Zhang, Junde Chen, Yaser A. Nanehkaran, Weirong Chen, Anwar Ul Haq, Shuangyuan Yang, Wenhua Wang, Yuxin Wen, Zhiguo Gong and Uferah Shafi and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Information Sciences.

In The Last Decade

Adnan Zeb

33 papers receiving 926 citations

Hit Papers

Identification of rice plant diseases using lightweight a... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Adnan Zeb China 17 513 204 189 96 81 34 972
Vipul K. Dabhi India 15 431 0.8× 258 1.3× 225 1.2× 89 0.9× 50 0.6× 51 1.1k
Harshadkumar B. Prajapati India 15 429 0.8× 257 1.3× 166 0.9× 91 0.9× 30 0.4× 42 1.1k
Deepak Kumar India 15 291 0.6× 117 0.6× 116 0.6× 124 1.3× 98 1.2× 78 846
Qiufeng Wu China 17 991 1.9× 399 2.0× 66 0.3× 77 0.8× 65 0.8× 44 1.3k
Rishabh Sharma India 19 701 1.4× 235 1.2× 183 1.0× 152 1.6× 30 0.4× 199 1.5k
Niketa Gandhi India 13 298 0.6× 78 0.4× 142 0.8× 47 0.5× 34 0.4× 40 658
Bobby D. Gerardo Philippines 13 332 0.6× 106 0.5× 210 1.1× 150 1.6× 28 0.3× 105 797
Zahid Iqbal Pakistan 7 590 1.2× 288 1.4× 95 0.5× 64 0.7× 144 1.8× 16 944
Kemal Adem Türkiye 13 301 0.6× 135 0.7× 250 1.3× 159 1.7× 11 0.1× 47 877
Ashish Kumar Tripathi India 17 305 0.6× 94 0.5× 283 1.5× 170 1.8× 14 0.2× 44 1000

Countries citing papers authored by Adnan Zeb

Since Specialization
Citations

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

Fields of papers citing papers by Adnan Zeb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adnan Zeb

This figure shows the co-authorship network connecting the top 25 collaborators of Adnan Zeb. A scholar is included among the top collaborators of Adnan Zeb 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 Adnan Zeb. Adnan Zeb 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
1.
Zhang, Defu, et al.. (2025). Advanced deep learning model for crop-specific and cross-crop pest identification. Expert Systems with Applications. 274. 126896–126896. 4 indexed citations
2.
Zeb, Adnan, Jianying Zheng, Junde Chen, et al.. (2025). Traffic forecasting with meta attentive graph convolutional recurrent network. Expert Systems with Applications. 287. 128073–128073. 1 indexed citations
3.
4.
Chen, Junde, et al.. (2024). Multimodal mixing convolutional neural network and transformer for Alzheimer’s disease recognition. Expert Systems with Applications. 259. 125321–125321. 16 indexed citations
5.
Chen, Junde, et al.. (2024). FPCA-SETCN: A Novel Deep Learning Framework for Remaining Useful Life Prediction. IEEE Sensors Journal. 24(19). 30736–30748. 2 indexed citations
6.
Hassan, Muhammad, et al.. (2024). Mapping brain development against neurological disorder using contrastive sharing. Expert Systems with Applications. 256. 124893–124893. 1 indexed citations
7.
Zeb, Adnan, et al.. (2024). CoPE: Composition-based Poincaré embeddings for link prediction in knowledge graphs. Information Sciences. 662. 120197–120197. 2 indexed citations
8.
Chen, Junde, et al.. (2024). Research on Interpolation Method for Missing Electricity Consumption Data. Computers, materials & continua/Computers, materials & continua (Print). 78(2). 2575–2591. 3 indexed citations
9.
Junejo, Naveed Ur Rehman, et al.. (2024). SAPPNet: students’ academic performance prediction during COVID-19 using neural network. Scientific Reports. 14(1). 24605–24605. 3 indexed citations
10.
Zeb, Adnan, et al.. (2023). Adaptive Modeling of Uncertainties for Traffic Forecasting. IEEE Transactions on Intelligent Transportation Systems. 25(5). 4427–4442. 7 indexed citations
11.
Qureshi, Muhammad Zahid, et al.. (2023). Characterization and bioactivities of M. arvensis, V. officinalis and P. glabrum: In-silico modeling of V. officinalis as a potential drug source. Saudi Journal of Biological Sciences. 30(6). 103646–103646. 1 indexed citations
12.
Zeb, Adnan, et al.. (2022). Complex graph convolutional network for link prediction in knowledge graphs. Expert Systems with Applications. 200. 116796–116796. 41 indexed citations
13.
Chen, Junde, et al.. (2022). Weakly-supervised learning method for the recognition of potato leaf diseases. Artificial Intelligence Review. 56(8). 7985–8002. 26 indexed citations
14.
Zeb, Adnan, et al.. (2022). Learning knowledge graph embeddings by deep relational roto-reflection. Knowledge-Based Systems. 252. 109451–109451. 12 indexed citations
15.
Zeb, Adnan, et al.. (2021). Learning hyperbolic attention-based embeddings for link prediction in knowledge graphs. Knowledge-Based Systems. 229. 107369–107369. 24 indexed citations
16.
Chen, Junde, Weirong Chen, Adnan Zeb, Defu Zhang, & Yaser A. Nanehkaran. (2021). Crop pest recognition using attention-embedded lightweight network under field conditions. Applied Entomology and Zoology. 56(4). 427–442. 38 indexed citations
17.
Chen, Junde, Defu Zhang, Adnan Zeb, & Yaser A. Nanehkaran. (2021). Identification of rice plant diseases using lightweight attention networks. Expert Systems with Applications. 169. 114514–114514. 178 indexed citations breakdown →
18.
Haq, Anwar Ul, et al.. (2020). Forecasting daily stock trend using multi-filter feature selection and deep learning. Expert Systems with Applications. 168. 114444–114444. 86 indexed citations
19.
Chen, Junde, Wenhua Wang, Defu Zhang, Adnan Zeb, & Yaser A. Nanehkaran. (2020). Attention embedded lightweight network for maize disease recognition. Plant Pathology. 70(3). 630–642. 91 indexed citations
20.
Usman, Saeeda, et al.. (2017). Optimizing Coverage of Churn Prediction in Telecommunication Industry. International Journal of Advanced Computer Science and Applications. 8(5). 8 indexed citations

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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