Ching-Hung Lin

773 total citations
22 papers, 551 citations indexed

About

Ching-Hung Lin is a scholar working on Cognitive Neuroscience, General Decision Sciences and Clinical Psychology. According to data from OpenAlex, Ching-Hung Lin has authored 22 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 8 papers in General Decision Sciences and 4 papers in Clinical Psychology. Recurrent topics in Ching-Hung Lin's work include Neural and Behavioral Psychology Studies (9 papers), Decision-Making and Behavioral Economics (8 papers) and Behavioral Health and Interventions (3 papers). Ching-Hung Lin is often cited by papers focused on Neural and Behavioral Psychology Studies (9 papers), Decision-Making and Behavioral Economics (8 papers) and Behavioral Health and Interventions (3 papers). Ching-Hung Lin collaborates with scholars based in Taiwan, Australia and United Kingdom. Ching-Hung Lin's co-authors include Jen‐Chuen Hsieh, Ming‐Kuei Lu, Jin‐Chern Chiou, Yingying Chen, Jeng‐Ren Duann, Chon-Haw Tsai, Chun‐Ming Chen, Chih‐Hung Ko, Yu-Chen Kao and Hsien‐Yuan Lane and has published in prestigious journals such as PLoS ONE, Frontiers in Psychology and Psychiatry Research.

In The Last Decade

Ching-Hung Lin

22 papers receiving 530 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ching-Hung Lin	296	171	114	99	90	22	551
Michael J. Frank	513 1.7×	93 0.5×	184 1.6×	54 0.5×	59 0.7×	5	761
Vanessa B. Wilson	297 1.0×	171 1.0×	119 1.0×	80 0.8×	95 1.1×	10	584
Francesco Rigoli	268 0.9×	101 0.6×	91 0.8×	46 0.5×	40 0.4×	46	484
Philippe Domenech	594 2.0×	105 0.6×	113 1.0×	214 2.2×	40 0.4×	33	1.0k
Antonius Wiehler	185 0.6×	104 0.6×	137 1.2×	91 0.9×	71 0.8×	17	467
Caroline J. Charpentier	454 1.5×	138 0.8×	273 2.4×	122 1.2×	107 1.2×	30	837
Mel Win Khaw	861 2.9×	226 1.3×	242 2.1×	70 0.7×	54 0.6×	20	1.2k
Nathalie Camille	600 2.0×	218 1.3×	158 1.4×	89 0.9×	59 0.7×	6	850
Ian C. Ballard	405 1.4×	93 0.5×	123 1.1×	38 0.4×	39 0.4×	20	589
Maja Dshemuchadse	444 1.5×	200 1.2×	162 1.4×	95 1.0×	138 1.5×	27	684

Countries citing papers authored by Ching-Hung Lin

Since Specialization

Citations

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

Fields of papers citing papers by Ching-Hung Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Hung Lin. 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 Ching-Hung Lin. The network helps show where Ching-Hung Lin may publish in the future.

Co-authorship network of co-authors of Ching-Hung Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ching-Hung Lin. A scholar is included among the top collaborators of Ching-Hung Lin 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 Ching-Hung Lin. Ching-Hung Lin 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

Lin, Ching-Hung, et al.. (2022). Reanalyzing the Maia and McClelland (2004) Empirical Data: How Do Participants Really Behave in the Iowa Gambling Task?. Frontiers in Psychiatry. 13. 788456–788456. 2 indexed citations

Ko, Chih‐Hung, et al.. (2021). The Prominent Deck B Phenomenon in Schizophrenia: An Empirical Study on Iowa Gambling Task. Frontiers in Psychology. 12. 619855–619855. 3 indexed citations

Lin, Ching-Hung, et al.. (2019). Is the Clinical Version of the Iowa Gambling Task Relevant for Assessing Choice Behavior in Cases of Internet Addiction?. Frontiers in Psychiatry. 10. 232–232. 14 indexed citations

Lin, Ching-Hung, et al.. (2017). Historical high and stock index returns: Application of the regression kink model. Journal of International Financial Markets Institutions and Money. 52. 48–63. 5 indexed citations

Chen, Li‐Fen, et al.. (2016). Traditional Chinese version of the Mayer Salovey Caruso Emotional Intelligence Test (MSCEIT-TC): Its validation and application to schizophrenic individuals. Psychiatry Research. 243. 61–70. 15 indexed citations

Lin, Ching-Hung, et al.. (2016). A Simplified Model of Choice Behavior under Uncertainty. Frontiers in Psychology. 7. 1201–1201. 5 indexed citations

Lin, Ching-Hung, et al.. (2015). How experience and information influence choice behavior: A pilot fMRI study of the Iowa Gambling Task. 133–162. 1 indexed citations

Lin, Ching-Hung, et al.. (2014). Are Normal Decision-Makers Sensitive to Changes in Value Contrast under Uncertainty? Evidence from the Iowa Gambling Task. PLoS ONE. 9(7). e101878–e101878. 4 indexed citations

Lin, Ching-Hung, et al.. (2013). The Clonic Phase of Seizures in Patients Treated with Electroconvulsive Therapy is Related to Age and Stimulus Intensity. Frontiers in Psychiatry. 4. 166–166. 8 indexed citations

10.

Lin, Ching-Hung, Chun‐Ming Chen, Ming‐Kuei Lu, et al.. (2013). VBM Reveals Brain Volume Differences between Parkinson’s Disease and Essential Tremor Patients. Frontiers in Human Neuroscience. 7. 247–247. 59 indexed citations

11.

Lin, Ching-Hung, et al.. (2013). Reexamining the Validity and Reliability of the Clinical Version of the Iowa Gambling Task: Evidence from a Normal Subject Group. Frontiers in Psychology. 4. 220–220. 43 indexed citations

12.

Lin, Ching-Hung, et al.. (2012). Mirrored Prominent Deck B Phenomenon: Frequent Small Losses Override Infrequent Large Gains in the Inverted Iowa Gambling Task. PLoS ONE. 7(10). e47202–e47202. 7 indexed citations

13.

Chiou, Jin‐Chern, et al.. (2012). EEG-controlled Table Bike for Neurorehabilitation Based on Sensorimotor-rhythm BCI. 95–97. 1 indexed citations

14.

Lin, Ching-Hung, et al.. (2011). "Medial frontal activity in brand-loyal consumers: A behavioral and near-infrared ray study": Correction to Lin, Tuan, and Chiu (2010).. Journal of Neuroscience Psychology and Economics. 4(1). iv–v. 1 indexed citations

15.

Lin, Ching-Hung, et al.. (2009). Gain-loss frequency and final outcome in the Soochow Gambling Task: A Reassessment. Behavioral and Brain Functions. 5(1). 45–45. 29 indexed citations

16.

Lin, Ching-Hung, et al.. (2008). Brain maps of Iowa gambling task. BMC Neuroscience. 9(1). 72–72. 63 indexed citations

17.

Lin, Ching-Hung, et al.. (2008). Immediate gain is long-term loss: Are there foresighted decision makers in the Iowa Gambling Task?. Behavioral and Brain Functions. 4(1). 13–13. 72 indexed citations

18.

Wang, Sying-Jyan, et al.. (2007). Test data compression for minimum test application time. Journal of information science and engineering. 23(6). 1901–1909. 4 indexed citations

19.

Lin, Ching-Hung, et al.. (2007). Is deck B a disadvantageous deck in the Iowa Gambling Task?. Behavioral and Brain Functions. 3(1). 16–16. 145 indexed citations

20.

Lin, Ching-Hung, et al.. (2007). Is deck C an advantageous deck in the Iowa Gambling Task?. Behavioral and Brain Functions. 3(1). 37–37. 52 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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