Lingling Hua

558 total citations
44 papers, 346 citations indexed

About

Lingling Hua is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lingling Hua has authored 44 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 15 papers in Experimental and Cognitive Psychology and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lingling Hua's work include Functional Brain Connectivity Studies (35 papers), Neural dynamics and brain function (11 papers) and Mental Health Research Topics (11 papers). Lingling Hua is often cited by papers focused on Functional Brain Connectivity Studies (35 papers), Neural dynamics and brain function (11 papers) and Mental Health Research Topics (11 papers). Lingling Hua collaborates with scholars based in China, Bangladesh and United Kingdom. Lingling Hua's co-authors include Qing Lü, Zhijian Yao, Rui Yan, Ke Zhao, Jiabo Shi, Jiaolong Qin, Yu Chen, Haiyan Liu, Maobin Wei and Zhongpeng Dai and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Psychological Medicine.

In The Last Decade

Lingling Hua

36 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingling Hua China 12 230 89 77 56 46 44 346
Nadja Dörig Switzerland 5 228 1.0× 128 1.4× 62 0.8× 45 0.8× 48 1.0× 7 332
Mohammad Ridwan Chattun China 12 206 0.9× 89 1.0× 47 0.6× 50 0.9× 31 0.7× 18 283
Danuta Lisiecka Ireland 8 257 1.1× 141 1.6× 106 1.4× 41 0.7× 62 1.3× 12 385
Luoyi Xu China 10 239 1.0× 85 1.0× 92 1.2× 63 1.1× 30 0.7× 18 372
Hongtao Ruan United Kingdom 5 345 1.5× 180 2.0× 90 1.2× 38 0.7× 52 1.1× 5 450
Junneng Shao China 12 297 1.3× 149 1.7× 83 1.1× 102 1.8× 56 1.2× 31 398
Yuedi Shen China 12 256 1.1× 82 0.9× 105 1.4× 64 1.1× 33 0.7× 21 366
Dipavo Banerjee United States 6 343 1.5× 168 1.9× 131 1.7× 69 1.2× 86 1.9× 8 481
Jianguang Zeng China 7 203 0.9× 77 0.9× 54 0.7× 81 1.4× 22 0.5× 20 364

Countries citing papers authored by Lingling Hua

Since Specialization
Citations

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

Fields of papers citing papers by Lingling Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingling Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Lingling Hua. A scholar is included among the top collaborators of Lingling Hua 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 Lingling Hua. Lingling Hua 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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Tang, Hao, Qing Lü, Haowen Zou, et al.. (2025). Major depressive disorder is characterized by differential theta and alpha patterns during working memory updating. BMC Psychiatry. 25(1). 923–923.
4.
Hua, Lingling, Rui Yan, Zhongpeng Dai, et al.. (2024). Aberrant high-beta band functional connectivity during reward processing in melancholic major depressive disorder: An MEG study. NeuroImage Clinical. 43. 103666–103666. 3 indexed citations
5.
Tang, Hao, Yi Xia, Lingling Hua, et al.. (2024). Electrophysiological predictors of early response to antidepressants in major depressive disorder. Journal of Affective Disorders. 365. 509–517. 3 indexed citations
6.
Yan, Rui, Lingling Hua, Yi Xia, et al.. (2024). Based on white matter microstructure to early identify bipolar disorder from patients with depressive episode. Journal of Affective Disorders. 350. 428–434. 6 indexed citations
7.
Wang, Xinyi, Xue Li, Junneng Shao, et al.. (2024). Distinct MRI-based functional and structural connectivity for antidepressant response prediction in major depressive disorder. Clinical Neurophysiology. 160. 19–27. 2 indexed citations
8.
Yan, Rui, et al.. (2024). Aberrant social reward dynamics in individuals with melancholic major depressive disorder: An ERP study. Journal of Affective Disorders. 361. 751–759. 2 indexed citations
9.
Zou, Haowen, Yi Xia, Lingling Hua, et al.. (2024). Neural responses to decision-making in suicide attempters with youth major depressive disorder. NeuroImage Clinical. 43. 103667–103667. 1 indexed citations
10.
Liu, Jiayu, Mohammad Ridwan Chattun, Lingling Hua, et al.. (2024). The mediating role of family functioning between childhood trauma and depression severity in major depressive disorder and bipolar disorder. Journal of Affective Disorders. 365. 443–450. 2 indexed citations
11.
Wang, Xiaoqin, Yi Xia, Rui Yan, et al.. (2024). Sex differences in anhedonia in bipolar depression: a resting-state fMRI study. European Archives of Psychiatry and Clinical Neuroscience. 275(4). 1087–1097. 4 indexed citations
12.
Hua, Lingling, Rick A. Adams, Tineke Grent-‘t-Jong, et al.. (2023). Thalamo-cortical circuits during sensory attenuation in emerging psychosis: a combined magnetoencephalography and dynamic causal modelling study. Schizophrenia. 9(1). 25–25. 4 indexed citations
13.
Xia, Yi, Lingling Hua, Zhongpeng Dai, et al.. (2023). Attenuated post-movement beta rebound reflects psychomotor alterations in major depressive disorder during a simple visuomotor task: a MEG study. BMC Psychiatry. 23(1). 395–395. 8 indexed citations
14.
Xia, Yi, Lingling Hua, Zhongpeng Dai, et al.. (2023). Spontaneous beta power, motor-related beta power and cortical thickness in major depressive disorder with psychomotor disturbance. NeuroImage Clinical. 38. 103433–103433. 6 indexed citations
15.
Zhou, Hongliang, Haowen Zou, Zhongpeng Dai, et al.. (2022). Interoception Dysfunction Contributes to the Negative Emotional Bias in Major Depressive Disorder. Frontiers in Psychiatry. 13. 874859–874859. 13 indexed citations
16.
Zhou, Hongliang, Zhongpeng Dai, Lingling Hua, et al.. (2020). Decreased Task-Related HRV Is Associated With Inhibitory Dysfunction Through Functional Inter-Region Connectivity of PFC in Major Depressive Disorder. Frontiers in Psychiatry. 10. 989–989. 14 indexed citations
17.
Zhou, Hongliang, Lingling Hua, Haiteng Jiang, et al.. (2020). <p>Autonomic Nervous System Is Related to Inhibitory and Control Function Through Functional Inter-Region Connectivities of OFC in Major Depression</p>. Neuropsychiatric Disease and Treatment. Volume 16. 235–247. 7 indexed citations
18.
Yao, Zhijian, et al.. (2015). Relationship between regional homogeneity of male depressed patients and the severity of depression: a resting-state fMRI study. Zhonghua xingwei yixue yu naokexue zazhi. 24(5). 435–437. 1 indexed citations
19.
Bi, Kun, Lingling Hua, Maobin Wei, et al.. (2015). Dynamic functional–structural coupling within acute functional state change phases: Evidence from a depression recognition study. Journal of Affective Disorders. 191. 145–155. 25 indexed citations
20.
Qin, Jiaolong, Maobin Wei, Haiyan Liu, et al.. (2014). Abnormal hubs of white matter networks in the frontal-parieto circuit contribute to depression discrimination via pattern classification. Magnetic Resonance Imaging. 32(10). 1314–1320. 24 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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