Ali Zeeshan Ijaz

782 total citations
31 papers, 380 citations indexed

About

Ali Zeeshan Ijaz is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Ali Zeeshan Ijaz has authored 31 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Molecular Biology and 3 papers in Computer Networks and Communications. Recurrent topics in Ali Zeeshan Ijaz's work include Genomics and Phylogenetic Studies (3 papers), Bioinformatics and Genomic Networks (3 papers) and Topic Modeling (2 papers). Ali Zeeshan Ijaz is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Bioinformatics and Genomic Networks (3 papers) and Topic Modeling (2 papers). Ali Zeeshan Ijaz collaborates with scholars based in Pakistan, Canada and Spain. Ali Zeeshan Ijaz's co-authors include Raja Hashim Ali, Nisar Ali, Talha Ali Khan, Zain ul Abideen, Usama Arshad, Raja Hashim Ali, Muhammad Imad, Uffe N. Nielsen, Brajesh K. Singh and Thomas C. Jeffries and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Microbiology and BMC Bioinformatics.

In The Last Decade

Ali Zeeshan Ijaz

30 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ali Zeeshan Ijaz Pakistan	13	98	56	51	50	43	31	380
Ao Feng China	14	234 2.4×	70 1.3×	58 1.1×	36 0.7×	37 0.9×	45	544
Yaniv Bernstein Australia	7	131 1.3×	19 0.3×	64 1.3×	15 0.3×	15 0.3×	9	316
Yin Ye China	8	181 1.8×	19 0.3×	24 0.5×	26 0.5×	15 0.3×	18	433
Kanwarpartap Singh Gill India	10	155 1.6×	83 1.5×	19 0.4×	27 0.5×	8 0.2×	192	662
Xiaojie Wang China	12	233 2.4×	100 1.8×	11 0.2×	24 0.5×	18 0.4×	26	496
Yuanyuan Zhao China	11	179 1.8×	26 0.5×	31 0.6×	109 2.2×	6 0.1×	37	519
Kexin Wang China	9	207 2.1×	54 1.0×	30 0.6×	18 0.4×	5 0.1×	34	312
J.C. Schryver United States	7	88 0.9×	25 0.4×	24 0.5×	5 0.1×	21 0.5×	27	243
Liang Qu China	10	189 1.9×	54 1.0×	14 0.3×	9 0.2×	8 0.2×	42	383

Countries citing papers authored by Ali Zeeshan Ijaz

Since Specialization

Citations

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

Fields of papers citing papers by Ali Zeeshan Ijaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Zeeshan Ijaz. 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 Ali Zeeshan Ijaz. The network helps show where Ali Zeeshan Ijaz may publish in the future.

Co-authorship network of co-authors of Ali Zeeshan Ijaz

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Zeeshan Ijaz. A scholar is included among the top collaborators of Ali Zeeshan Ijaz 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 Ali Zeeshan Ijaz. Ali Zeeshan Ijaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ali, Raja Hashim, et al.. (2023). Towards Effective Emotion Detection: A Comprehensive Machine Learning Approach on EEG Signals. SHILAP Revista de lepidopterología. 3(4). 1083–1100. 11 indexed citations

Arshad, Usama, et al.. (2023). Identifying COVID-19 through X-ray and CT scan images using Machine Learning. 56–61. 11 indexed citations

Ali, Raja Hashim, et al.. (2023). Stock Price Forecasting using Hidden Markov Models. 1–6. 12 indexed citations

Ali, Raja Hashim, Zain ul Abideen, Usama Arshad, et al.. (2023). Investigating novel machine learning based intrusion detection models for NSL-KDD data sets. 1–6. 9 indexed citations

Ali, Raja Hashim, Usama Arshad, Nisar Ali, et al.. (2023). Studying the effects of feature selection approaches on machine learning techniques for Mushroom classification problem. 1–6. 16 indexed citations

Arshad, Usama, Raja Hashim Ali, Zain Ul Abideen, et al.. (2023). Leveraging AI and NLP in Chatbot Development: An Experimental Study. 172–177. 9 indexed citations

Ali, Raja Hashim, et al.. (2023). Enhancing Flood Resilience: Streamflow Forecasting and Inundation Modeling in Pakistan. SHILAP Revista de lepidopterología. 315–315. 7 indexed citations

Ali, Raja Hashim, Zain Ul Abideen, Talha Ali Khan, et al.. (2023). Genetic Algorithm-Based Feature Selection for Accurate Breast Cancer Classification. 1–6. 12 indexed citations

Ali, Nisar, Ali Zeeshan Ijaz, Raja Hashim Ali, Zain ul Abideen, & Abdul Bais. (2023). Scene Parsing Using Fully Convolutional Network for Semantic Segmentation. 180–185. 11 indexed citations

10.

Arshad, Usama, Raja Hashim Ali, Zain Ul Abideen, et al.. (2023). Robust and Reliable Liveness Detection Models for Facial Recognition Systems. 292–297. 7 indexed citations

11.

Ali, Raja Hashim, Zain ul Abideen, Ali Zeeshan Ijaz, et al.. (2023). Prediction of Polycystic Ovary Syndrome Using Genetic Algorithm-driven Feature Selection. 1–6. 11 indexed citations

12.

Ali, Raja Hashim, Ali Zeeshan Ijaz, Nisar Ali, et al.. (2023). Performance comparison of genetic algorithms with traditional search techniques on the N-Queen Problem. 1–6. 8 indexed citations

13.

Ali, Raja Hashim, et al.. (2023). A Review of Algorithms’s Complexities on Different Valued Sorted and Unsorted Data. 1–6. 7 indexed citations

14.

Tolonen, Mikko, Eetu Mäkelä, Ali Zeeshan Ijaz, & Leo Lahti. (2021). Corpus Linguistics and Eighteenth Century Collections Online (ECCO). 9(1). 19–34. 3 indexed citations

15.

Tolonen, Mikko, et al.. (2020). Data-driven analysis of canonical works in early modern Britain.. DH. 1 indexed citations

16.

Ijaz, Ali Zeeshan, et al.. (2019). Analytical Edition Detection In Bibliographic Metadata. Työväentutkimus Vuosikirja. 1 indexed citations

17.

Jeffries, Thomas C., Uffe N. Nielsen, Kaitao Lai, et al.. (2018). Metagenomic Functional Potential Predicts Degradation Rates of a Model Organophosphorus Xenobiotic in Pesticide Contaminated Soils. Frontiers in Microbiology. 9. 147–147. 60 indexed citations

18.

Sinclair, Lucas, Umer Zeeshan Ijaz, Lars Juhl Jensen, et al.. (2016). Seqenv : linking sequences to environments through text mining. PeerJ. 4. e2690–e2690. 27 indexed citations

19.

Ijaz, Ali Zeeshan, Min Song, & Doheon Lee. (2010). MKEM: a Multi-level Knowledge Emergence Model for mining undiscovered public knowledge. BMC Bioinformatics. 11(S2). S3–S3. 10 indexed citations

20.

Ijaz, Ali Zeeshan, Min Song, & Doheon Lee. (2009). MKEM. 51–58. 1 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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