Jahanzaib Latif

530 total citations
9 papers, 338 citations indexed

About

Jahanzaib Latif is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jahanzaib Latif has authored 9 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Jahanzaib Latif's work include Retinal Imaging and Analysis (4 papers), Digital Imaging for Blood Diseases (4 papers) and AI in cancer detection (3 papers). Jahanzaib Latif is often cited by papers focused on Retinal Imaging and Analysis (4 papers), Digital Imaging for Blood Diseases (4 papers) and AI in cancer detection (3 papers). Jahanzaib Latif collaborates with scholars based in China and Pakistan. Jahanzaib Latif's co-authors include Azhar Imran, Chuangbai Xiao, Shanshan Tu, Anas Bilal, Guangmin Sun, Sarah Mazhar, Sadaqat Ur Rehman, Yu Li, Ahsan Wajahat and Ahsan Nazir and has published in prestigious journals such as IEEE Access, SN Applied Sciences and Computers, materials & continua/Computers, materials & continua (Print).

In The Last Decade

Jahanzaib Latif

8 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jahanzaib Latif China	8	185	106	93	79	54	9	338
Saeed Ali Bahaj Saudi Arabia	10	107 0.6×	100 0.9×	83 0.9×	31 0.4×	57 1.1×	25	307
G. R. Hemalakshmi India	8	114 0.6×	52 0.5×	77 0.8×	50 0.6×	40 0.7×	17	249
Zaka Ur Rehman Malaysia	8	197 1.1×	117 1.1×	265 2.8×	90 1.1×	39 0.7×	22	488
Preetham Kumar India	11	218 1.2×	96 0.9×	201 2.2×	118 1.5×	23 0.4×	40	405
N. Veeranjaneyulu India	12	278 1.5×	184 1.7×	240 2.6×	119 1.5×	86 1.6×	34	578
Jyostna Devi Bodapati India	13	314 1.7×	199 1.9×	267 2.9×	138 1.7×	113 2.1×	37	621
Anam Fatima Pakistan	5	121 0.7×	47 0.4×	86 0.9×	66 0.8×	12 0.2×	15	251
Swamidoss Issac Niwas India	14	279 1.5×	140 1.3×	212 2.3×	202 2.6×	19 0.4×	19	499
Veena Mayya India	9	148 0.8×	67 0.6×	166 1.8×	71 0.9×	35 0.6×	32	374
Václav Uher Czechia	9	167 0.9×	64 0.6×	199 2.1×	121 1.5×	6 0.1×	22	369

Countries citing papers authored by Jahanzaib Latif

Since Specialization

Citations

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

Fields of papers citing papers by Jahanzaib Latif

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jahanzaib Latif

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

All Works

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9 of 9 papers shown

1.

Latif, Jahanzaib, et al.. (2023). Enhanced Nature Inspired-Support Vector Machine for Glaucoma Detection. Computers, materials & continua/Computers, materials & continua (Print). 76(1). 1151–1172. 14 indexed citations

2.

Bilal, Anas, Guangmin Sun, Yu Li, Sarah Mazhar, & Jahanzaib Latif. (2022). Lung nodules detection using grey wolf optimization by weighted filters and classification using CNN. Journal of the Chinese Institute of Engineers. 45(2). 175–186. 38 indexed citations

3.

Bilal, Anas, Guangmin Sun, Sarah Mazhar, Azhar Imran, & Jahanzaib Latif. (2022). A Transfer Learning and U-Net-based automatic detection of diabetic retinopathy from fundus images. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 10(6). 663–674. 68 indexed citations

4.

Latif, Jahanzaib, et al.. (2022). ODGNet: a deep learning model for automated optic disc localization and glaucoma classification using fundus images. SN Applied Sciences. 4(4). 52 indexed citations

5.

Latif, Jahanzaib, et al.. (2021). Digital Forensics Use Case for Glaucoma Detection Using Transfer Learning Based on Deep Convolutional Neural Networks. Security and Communication Networks. 2021. 1–13. 10 indexed citations

6.

Imran, Azhar, et al.. (2020). Effects of Code Cloning in Mobile Applications. 1–6.

7.

Latif, Jahanzaib, Chuangbai Xiao, Shanshan Tu, et al.. (2020). Implementation and Use of Disease Diagnosis Systems for Electronic Medical Records Based on Machine Learning: A Complete Review. IEEE Access. 8. 150489–150513. 35 indexed citations

8.

Latif, Jahanzaib, Chuangbai Xiao, Azhar Imran, & Shanshan Tu. (2019). Medical Imaging using Machine Learning and Deep Learning Algorithms: A Review. 1–5. 105 indexed citations

9.

Wajahat, Ahsan, Azhar Imran, Jahanzaib Latif, Ahsan Nazir, & Anas Bilal. (2019). A Novel Approach of Unprivileged Keylogger Detection. 1–6. 16 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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