OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Group-regularized individual prediction: theory and application to pain
Martin A. Lindquist, Anjali Krishnan, Marina López‐Solà, et al.
NeuroImage (2015) Vol. 145, pp. 274-287
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Brain imaging tests for chronic pain: medical, legal and ethical issues and recommendations
Karen D. Davis, Herta Flor, Henry T. Greely, et al.
Nature Reviews Neurology (2017) Vol. 13, Iss. 10, pp. 624-638
Open Access | Times Cited: 279

The search for pain biomarkers in the human brain
André Mouraux, Gian Domenico Iannetti
Brain (2018) Vol. 141, Iss. 12, pp. 3290-3307
Open Access | Times Cited: 223

Empathic Care and Distress: Predictive Brain Markers and Dissociable Brain Systems
Yoni K. Ashar, Jessica R. Andrews‐Hanna, Sona Dimidjian, et al.
Neuron (2017) Vol. 94, Iss. 6, pp. 1263-1273.e4
Open Access | Times Cited: 218

Representation, Pattern Information, and Brain Signatures: From Neurons to Neuroimaging
Philip A. Kragel, Leonie Koban, Lisa Feldman Barrett, et al.
Neuron (2018) Vol. 99, Iss. 2, pp. 257-273
Open Access | Times Cited: 204

Quantifying cerebral contributions to pain beyond nociception
Choong‐Wan Woo, Liane Schmidt, Anjali Krishnan, et al.
Nature Communications (2017) Vol. 8, Iss. 1
Open Access | Times Cited: 200

Toward a unified framework for interpreting machine-learning models in neuroimaging
Lada Kohoutová, Juyeon Heo, Sungmin Cha, et al.
Nature Protocols (2020) Vol. 15, Iss. 4, pp. 1399-1435
Open Access | Times Cited: 144

Behavioural and neural evidence for self-reinforcing expectancy effects on pain
Marieke Jepma, Leonie Koban, Johnny van Doorn, et al.
Nature Human Behaviour (2018) Vol. 2, Iss. 11, pp. 838-855
Open Access | Times Cited: 131

Modeling Pain Using fMRI: From Regions to Biomarkers
Marianne C. Reddan, Tor D. Wager
Neuroscience Bulletin (2017) Vol. 34, Iss. 1, pp. 208-215
Open Access | Times Cited: 112

Abnormal medial prefrontal cortex functional connectivity and its association with clinical symptoms in chronic low back pain
Yiheng Tu, Minyoung Jung, Randy L. Gollub, et al.
Pain (2019) Vol. 160, Iss. 6, pp. 1308-1318
Open Access | Times Cited: 95

Brain mechanisms of social touch-induced analgesia in females
Marina López‐Solà, Stephan Geuter, Leonie Koban, et al.
Pain (2019) Vol. 160, Iss. 9, pp. 2072-2085
Closed Access | Times Cited: 91

Painful Issues in Pain Prediction
Li Hu, Gian Domenico Iannetti
Trends in Neurosciences (2016) Vol. 39, Iss. 4, pp. 212-220
Open Access | Times Cited: 80

Structural Magnetic Resonance Imaging Can Identify Trigeminal System Abnormalities in Classical Trigeminal Neuralgia
Danielle D. DeSouza, Mojgan Hodaie, Karen D. Davis
Frontiers in Neuroanatomy (2016) Vol. 10
Open Access | Times Cited: 77

Multivariate resting-state functional connectivity predicts responses to real and sham acupuncture treatment in chronic low back pain
Yiheng Tu, Ana Ortiz, Randy L. Gollub, et al.
NeuroImage Clinical (2019) Vol. 23, pp. 101885-101885
Open Access | Times Cited: 70

Pain-Evoked Reorganization in Functional Brain Networks
Weihao Zheng, Choong‐Wan Woo, Zhijun Yao, et al.
Cerebral Cortex (2019) Vol. 30, Iss. 5, pp. 2804-2822
Open Access | Times Cited: 60

Machine learning and individual variability in electric field characteristics predict tDCS treatment response
Alejandro Albizu, Ruogu Fang, Aprinda Indahlastari, et al.
Brain stimulation (2020) Vol. 13, Iss. 6, pp. 1753-1764
Open Access | Times Cited: 59

Multiple Brain Networks Mediating Stimulus–Pain Relationships in Humans
Stephan Geuter, Elizabeth A. Reynolds Losin, Mathieu Roy, et al.
Cerebral Cortex (2020) Vol. 30, Iss. 7, pp. 4204-4219
Open Access | Times Cited: 58

Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review
David Naranjo, Javier Reina‐Tosina, Laura M. Roa
Sensors (2020) Vol. 20, Iss. 2, pp. 365-365
Open Access | Times Cited: 51

Effect sizes and test-retest reliability of the fMRI-based neurologic pain signature
Xiaochun Han, Yoni K. Ashar, Philip A. Kragel, et al.
NeuroImage (2021) Vol. 247, pp. 118844-118844
Open Access | Times Cited: 49

Common and distinct neural representations of aversive somatic and visceral stimulation in healthy individuals
Lukas Van Oudenhove, Philip A. Kragel, Patrick Dupont, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 45

Identifying inter-individual differences in pain threshold using brain connectome: a test-retest reproducible study
Yiheng Tu, Binlong Zhang, Jin Cao, et al.
NeuroImage (2019) Vol. 202, pp. 116049-116049
Open Access | Times Cited: 43

Graph-constrained analysis for multivariate functional data
Debangan Dey, Sudipto Banerjee, Martin A. Lindquist, et al.
Journal of Multivariate Analysis (2025) Vol. 207, pp. 105428-105428
Closed Access

Multivariate pattern classification of brain white matter connectivity predicts classic trigeminal neuralgia
Jidan Zhong, David Qixiang Chen, Peter Shih-Ping Hung, et al.
Pain (2018) Vol. 159, Iss. 10, pp. 2076-2087
Closed Access | Times Cited: 42

Analgesic Effects Evoked by Real and Imagined Acupuncture: A Neuroimaging Study
Jin Cao, Yiheng Tu, Scott P. Orr, et al.
Cerebral Cortex (2018) Vol. 29, Iss. 8, pp. 3220-3231
Open Access | Times Cited: 42

Inter-subject pattern analysis: A straightforward and powerful scheme for group-level MVPA
Qi Wang, Bastien Cagna, Thierry Chaminade, et al.
NeuroImage (2019) Vol. 204, pp. 116205-116205
Open Access | Times Cited: 37

Cortico-spinal imaging to study pain
Alexandra Tinnermann, Christian Büchel, Julien Cohen‐Adad
NeuroImage (2020) Vol. 224, pp. 117439-117439
Open Access | Times Cited: 37

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