Farhan Ali

1.7k total citations
34 papers, 1.1k citations indexed

About

Farhan Ali is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Farhan Ali has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Farhan Ali's work include Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (4 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). Farhan Ali is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (4 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). Farhan Ali collaborates with scholars based in Singapore, United States and China. Farhan Ali's co-authors include Rudolf Meier, Guanyang Zhang, Alex C. Kwan, Ronald S. Duman, Danielle M. Gerhard, Christopher Pittenger, Santosh Pothula, Cengiz Pehlevan, Bence P. Ölveczky and Timothy M. Otchy and has published in prestigious journals such as Nature Communications, Neuron and Nano Letters.

In The Last Decade

Farhan Ali

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farhan Ali Singapore 15 333 289 256 223 190 34 1.1k
Sophie Scotto‐Lomassese France 14 227 0.7× 461 1.6× 171 0.7× 151 0.7× 123 0.6× 19 861
Chun-Fang Wu United States 13 326 1.0× 511 1.8× 358 1.4× 223 1.0× 149 0.8× 19 1.6k
Lars Lewejohann Germany 27 543 1.6× 510 1.8× 381 1.5× 215 1.0× 321 1.7× 70 2.5k
Jennifer L. Sanderson United States 23 748 2.2× 869 3.0× 242 0.9× 272 1.2× 176 0.9× 31 1.6k
Tali Kimchi Israel 20 219 0.7× 482 1.7× 410 1.6× 272 1.2× 282 1.5× 36 1.7k
Adrián G. Palacios Chile 27 780 2.3× 799 2.8× 569 2.2× 293 1.3× 98 0.5× 76 2.2k
Stephen D. Shea United States 15 143 0.4× 360 1.2× 303 1.2× 188 0.8× 100 0.5× 25 1.1k
Anton W. Pieneman Netherlands 18 137 0.4× 469 1.6× 232 0.9× 188 0.8× 55 0.3× 34 907
Pavel M. Itskov Portugal 15 334 1.0× 757 2.6× 532 2.1× 190 0.9× 231 1.2× 21 1.7k
Sylvain Hugel France 19 294 0.9× 498 1.7× 224 0.9× 441 2.0× 223 1.2× 75 1.7k

Countries citing papers authored by Farhan Ali

Since Specialization
Citations

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

Fields of papers citing papers by Farhan Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farhan Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Farhan Ali. A scholar is included among the top collaborators of Farhan Ali 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 Farhan Ali. Farhan Ali 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
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Chen, Wenli, et al.. (2025). Machine Learning Models to Predict Individual Cognitive Load in Collaborative Learning: Combining fNIRS and Eye-Tracking Data. Machine Learning and Knowledge Extraction. 7(2). 51–51.
3.
Ali, Farhan, et al.. (2025). Predicting literacy intervention responsiveness using semi-supervised machine learning. Research in Developmental Disabilities. 165. 105090–105090.
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Ali, Farhan, et al.. (2024). Automatic item generation in various STEM subjects using large language model prompting. Computers and Education Artificial Intelligence. 8. 100344–100344. 6 indexed citations
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Tan, Ah‐Hwee, Farhan Ali, & Kenneth K. Poon. (2024). Subjective well‐being of children with special educational needs: Longitudinal predictors using machine learning. Applied Psychology Health and Well-Being. 17(1). e12625–e12625. 1 indexed citations
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Ali, Farhan, et al.. (2024). Are schools becoming more unequal? Insights from exploratory data mining of international large-scale assessment, TIMSS 2003-2019. Studies In Educational Evaluation. 81. 101330–101330. 4 indexed citations
10.
Yuvaraj, Rajamanickam, et al.. (2023). Comprehensive Analysis of Feature Extraction Methods for Emotion Recognition from Multichannel EEG Recordings. Sensors. 23(2). 915–915. 36 indexed citations
11.
Ali, Farhan & Rebecca P. Ang. (2023). Many-Dimensional Model of Adolescent School Enjoyment: A Test Using Machine Learning from Behavioral and Social-Emotional Problems. Education Sciences. 13(11). 1103–1103. 2 indexed citations
12.
Yeter, Ibrahim H., et al.. (2023). Learning data science in elementary school mathematics: a comparative curriculum analysis. International Journal of STEM Education. 10(1). 17 indexed citations
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Ali, Farhan, et al.. (2023). Accounting for the Concreteness and Neighborhood Effects in a High Frequency Word List for Poor Readers. Education Sciences. 13(11). 1117–1117. 1 indexed citations
15.
Ali, Farhan & Rebecca P. Ang. (2022). Predicting How Well Adolescents Get Along with Peers and Teachers: A Machine Learning Approach. Journal of Youth and Adolescence. 51(7). 1241–1256. 3 indexed citations
16.
Ali, Farhan & Seng Chee Tan. (2022). Emotions and lifelong learning: synergies between neuroscience research and transformative learning theory. International Journal of Lifelong Education. 41(1). 76–90. 12 indexed citations
17.
Zhou, Wen‐Liang, Kristen K.O. Kim, Farhan Ali, et al.. (2022). Activity of a direct VTA to ventral pallidum GABA pathway encodes unconditioned reward value and sustains motivation for reward. Science Advances. 8(42). eabm5217–eabm5217. 20 indexed citations
18.
Ali, Farhan, Ling-Xiao Shao, Danielle M. Gerhard, et al.. (2020). Inhibitory regulation of calcium transients in prefrontal dendritic spines is compromised by a nonsense Shank3 mutation. Molecular Psychiatry. 26(6). 1945–1966. 17 indexed citations
19.
Ali, Farhan, et al.. (2016). Fast and slow transitions in frontal ensemble activity during flexible sensorimotor behavior. Nature Neuroscience. 19(9). 1234–1242. 78 indexed citations
20.
Ali, Farhan & Rudolf Meier. (2008). Positive Selection in ASPM Is Correlated with Cerebral Cortex Evolution across Primates but Not with Whole-Brain Size. Molecular Biology and Evolution. 25(11). 2247–2250. 26 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sophie Scotto‐Lomassese Breakdown of academic impact, for papers by Chun-Fang Wu Breakdown of academic impact, for papers by Lars Lewejohann Breakdown of academic impact, for papers by Jennifer L. Sanderson Breakdown of academic impact, for papers by Tali Kimchi Breakdown of academic impact, for papers by Adrián G. Palacios Breakdown of academic impact, for papers by Stephen D. Shea Breakdown of academic impact, for papers by Anton W. Pieneman Breakdown of academic impact, for papers by Pavel M. Itskov Breakdown of academic impact, for papers by Sylvain Hugel
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