M. Ikram Ullah Lali

2.6k total citations · 1 hit paper
51 papers, 1.8k citations indexed

About

M. Ikram Ullah Lali is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, M. Ikram Ullah Lali has authored 51 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 11 papers in Information Systems and 10 papers in Computer Networks and Communications. Recurrent topics in M. Ikram Ullah Lali's work include Sentiment Analysis and Opinion Mining (7 papers), Smart Agriculture and AI (6 papers) and Complex Network Analysis Techniques (5 papers). M. Ikram Ullah Lali is often cited by papers focused on Sentiment Analysis and Opinion Mining (7 papers), Smart Agriculture and AI (6 papers) and Complex Network Analysis Techniques (5 papers). M. Ikram Ullah Lali collaborates with scholars based in Pakistan, Saudi Arabia and China. M. Ikram Ullah Lali's co-authors include Hafiz Tayyab Rauf, Muhammad Attique Khan, Muhammad Sharif, Basharat Ali Saleem, Muhammad Azam, Muhammad Younus Javed, Zahid Iqbal, Hussam Ali, Syed Ahmad Chan Bukhari and Muhammad Sharif and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular Ecology and IEEE Access.

In The Last Decade

M. Ikram Ullah Lali

50 papers receiving 1.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection

2018 340 citations Muhammad Attique Khan, M. Ikram Ullah Lali et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Ikram Ullah Lali Pakistan	18	876	432	370	178	175	51	1.8k
Yonis Gulzar Saudi Arabia	26	721 0.8×	320 0.7×	337 0.9×	202 1.1×	273 1.6×	109	1.9k
Andraš Anderla Serbia	9	1.4k 1.6×	574 1.3×	248 0.7×	125 0.7×	193 1.1×	22	1.9k
Jyotir Moy Chatterjee India	19	422 0.5×	150 0.3×	590 1.6×	221 1.2×	279 1.6×	68	2.2k
Amandeep Kaur India	21	326 0.4×	137 0.3×	361 1.0×	235 1.3×	228 1.3×	157	1.6k
Rishabh Sharma India	19	701 0.8×	235 0.5×	183 0.5×	95 0.5×	152 0.9×	199	1.5k
Abdul Waheed Pakistan	17	242 0.3×	114 0.3×	603 1.6×	206 1.2×	268 1.5×	78	1.6k
Saleh Albahli Saudi Arabia	23	284 0.3×	101 0.2×	402 1.1×	92 0.5×	270 1.5×	74	1.3k
Asit Kumar Das India	21	167 0.2×	101 0.2×	744 2.0×	223 1.3×	215 1.2×	94	1.4k
Satvik Vats India	19	313 0.4×	76 0.2×	329 0.9×	118 0.7×	144 0.8×	184	1.5k
Divya Anand India	20	242 0.3×	71 0.2×	243 0.7×	238 1.3×	131 0.7×	72	1.3k

Countries citing papers authored by M. Ikram Ullah Lali

Since Specialization

Citations

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

Fields of papers citing papers by M. Ikram Ullah Lali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Ikram Ullah Lali. 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 M. Ikram Ullah Lali. The network helps show where M. Ikram Ullah Lali may publish in the future.

Co-authorship network of co-authors of M. Ikram Ullah Lali

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ikram Ullah Lali. A scholar is included among the top collaborators of M. Ikram Ullah Lali 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 M. Ikram Ullah Lali. M. Ikram Ullah Lali 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

Khan, Javed Ali, et al.. (2024). Gamify4LexAmb: a gamification-based approach to address lexical ambiguity in natural language requirements. PeerJ Computer Science. 10. e2229–e2229.

Lali, M. Ikram Ullah, et al.. (2023). Sperm Abnormality Detection Using Sequential Deep Neural Network. Mathematics. 11(3). 515–515. 7 indexed citations

Aslam, Waqar, et al.. (2023). Predicting Thalassemia Using Feature Selection Techniques: A Comparative Analysis. Diagnostics. 13(22). 3441–3441. 12 indexed citations

Lali, M. Ikram Ullah, et al.. (2023). A review of different deep learning techniques for sperm fertility prediction. AIMS Mathematics. 8(7). 16360–16416. 8 indexed citations

Bukhari, Syed Ahmad Chan, et al.. (2021). Frameworks for Querying Databases Using Natural Language. International Journal of Data Warehousing and Mining. 17(2). 21–38. 7 indexed citations

Aslam, Waqar, et al.. (2020). An Image Encryption Scheme Based on DNA Computing and Multiple Chaotic Systems. IEEE Access. 8. 25650–25663. 54 indexed citations

Bilal, Muhammad, et al.. (2020). Profiling Users’ Behavior, and Identifying Important Features of Review “Helpfulness”. IEEE Access. 8. 77227–77244. 13 indexed citations

Lali, M. Ikram Ullah, et al.. (2020). Discovering software developer's coding expertise through deep learning. IET Software. 14(3). 213–220. 5 indexed citations

Meraj, Talha, Hafiz Tayyab Rauf, Saliha Zahoor, et al.. (2020). Lung nodules detection using semantic segmentation and classification with optimal features. Neural Computing and Applications. 33(17). 10737–10750. 65 indexed citations

10.

Bilal, Muhammad, et al.. (2020). Profiling reviewers’ social network strength and predicting the “Helpfulness” of online customer reviews. Electronic Commerce Research and Applications. 45. 101026–101026. 37 indexed citations

11.

Rauf, Hafiz Tayyab, Basharat Ali Saleem, M. Ikram Ullah Lali, et al.. (2019). A citrus fruits and leaves dataset for detection and classification of citrus diseases through machine learning. SHILAP Revista de lepidopterología. 26. 104340–104340. 185 indexed citations

12.

Rauf, Hafiz Tayyab, et al.. (2019). Visual features based automated identification of fish species using deep convolutional neural networks. Computers and Electronics in Agriculture. 167. 105075–105075. 118 indexed citations

13.

Shahzad, Basit, et al.. (2019). Quantification of Productivity of the Brands on Social Media With Respect to Their Responsiveness. IEEE Access. 7. 9531–9539. 9 indexed citations

14.

Bilal, Muhammad, et al.. (2017). Exploring Industrial Demand Trend’s in Pakistan Software Industry Using Online Job Portal Data. SHILAP Revista de lepidopterología. 1(1). 17–24. 8 indexed citations

15.

Lali, M. Ikram Ullah, et al.. (2017). Identification of Patterns in Failure of Software Projects.. Journal of information science and engineering. 33. 1465–1479. 13 indexed citations

16.

Lali, M. Ikram Ullah, et al.. (2017). Performance Evaluation of Software Defined Networking vs. Traditional Networks. The Nucleus. 54(1). 16–22. 8 indexed citations

17.

Aslam, Waqar, et al.. (2017). Risk Aware and Quality Enriched Effort Estimation for Mobile Applications in Distributed Agile Software Development. Journal of information science and engineering. 33(6). 1481–1500. 11 indexed citations

18.

Mustafa, Raza Ul, M. Saqib Nawaz, M. Ikram Ullah Lali, Tehseen Zia, & Waqar Mehmood. (2017). Predicting The Cricket Match Outcome Using Crowd Opinions On Social Networks: A Comparative Study Of Machine Learning Methods. Malaysian Journal of Computer Science. 30(1). 63–76. 40 indexed citations

19.

Nawaz, M. Saqib, Hussam Ali, & M. Ikram Ullah Lali. (2016). Concurrent Algorithms in SPIN Model Checker. 7682. 193–198. 2 indexed citations

20.

Lali, M. Ikram Ullah, et al.. (2008). Exploring the effect of directory depth on file access for FAT and NTFS file systems. Molecular Ecology. 14(13). 130–135. 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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