Xiangwen Chang

850 total citations · 2 hit papers
10 papers, 528 citations indexed

About

Xiangwen Chang is a scholar working on Cellular and Molecular Neuroscience, Sociology and Political Science and Epidemiology. According to data from OpenAlex, Xiangwen Chang has authored 10 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 3 papers in Sociology and Political Science and 3 papers in Epidemiology. Recurrent topics in Xiangwen Chang's work include Neurotransmitter Receptor Influence on Behavior (3 papers), Digital Mental Health Interventions (3 papers) and Substance Abuse Treatment and Outcomes (3 papers). Xiangwen Chang is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (3 papers), Digital Mental Health Interventions (3 papers) and Substance Abuse Treatment and Outcomes (3 papers). Xiangwen Chang collaborates with scholars based in China, United States and Romania. Xiangwen Chang's co-authors include Jie Shi, Yan Sun, Lin Lü, Shiqiu Meng, Yangyang Li, Yanping Bao, Jialu Cheng, Jun-Wei Zheng, Yun Chen and Xiaoqin Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Psychology Review and Molecular Psychiatry.

In The Last Decade

Xiangwen Chang

10 papers receiving 520 citations

Hit Papers

Global prevalence of digital addiction in general populat... 2021 2026 2022 2024 2022 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangwen Chang China 7 372 163 155 128 75 10 528
Wan-Sen Yan China 8 208 0.6× 172 1.1× 85 0.5× 69 0.5× 63 0.8× 11 398
Bert Theodor te Wildt Germany 11 190 0.5× 132 0.8× 110 0.7× 59 0.5× 55 0.7× 33 469
Jo Yung-Wei Wu Taiwan 13 424 1.1× 256 1.6× 228 1.5× 81 0.6× 62 0.8× 16 713
Tania Moretta Italy 15 372 1.0× 180 1.1× 183 1.2× 139 1.1× 126 1.7× 39 629
R. Truzoli Italy 14 332 0.9× 200 1.2× 220 1.4× 87 0.7× 58 0.8× 34 610
Roxanne Hook United Kingdom 12 203 0.5× 362 2.2× 79 0.5× 75 0.6× 111 1.5× 19 603
Yanbo Hu China 12 413 1.1× 125 0.8× 193 1.2× 127 1.0× 155 2.1× 19 580
Jory Deleuze Belgium 11 594 1.6× 252 1.5× 237 1.5× 132 1.0× 114 1.5× 16 728
Sabine Steins‐Loeber Germany 15 233 0.6× 358 2.2× 36 0.2× 103 0.8× 84 1.1× 57 668
Jun-Wei Zheng China 5 248 0.7× 79 0.5× 114 0.7× 80 0.6× 79 1.1× 10 361

Countries citing papers authored by Xiangwen Chang

Since Specialization
Citations

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

Fields of papers citing papers by Xiangwen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangwen Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangwen Chang. A scholar is included among the top collaborators of Xiangwen Chang 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 Xiangwen Chang. Xiangwen Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Zheng, Jun-Wei, et al.. (2023). [Appropriate Use and Abuse of Sedative-Hypnotic Drugs].. PubMed. 54(2). 231–239. 4 indexed citations
2.
Chang, Suhua, Yan Sun, Fan Wang, et al.. (2022). Genome‐wide association meta‐analyses identify novel genetic risk loci and polygenic phenotype associations for heroin, methamphetamine and alcohol dependences. Clinical and Translational Medicine. 12(1). e659–e659. 4 indexed citations
4.
Meng, Shiqiu, Jialu Cheng, Yangyang Li, et al.. (2022). Global prevalence of digital addiction in general population: A systematic review and meta-analysis. Clinical Psychology Review. 92. 102128–102128. 293 indexed citations breakdown →
5.
Li, Yangyang, Yan Sun, Shiqiu Meng, et al.. (2021). Internet Addiction Increases in the General Population During COVID‐19: Evidence From China. American Journal on Addictions. 30(4). 389–397. 144 indexed citations breakdown →
6.
Meng, Shiqiu, Ping Dong, Yangyang Li, et al.. (2020). Guidelines for Prevention and Treatment of Internet Addiction in Adolescents During Home Quarantine for the COVID-19 Pandemic. SHILAP Revista de lepidopterología. 4(4). 95–99. 16 indexed citations
7.
Sun, Yan, Suhua Chang, Zhen Liu, et al.. (2019). Identification of novel risk loci with shared effects on alcoholism, heroin, and methamphetamine dependence. Molecular Psychiatry. 26(4). 1152–1161. 28 indexed citations
8.
Sun, Yan, Suhua Chang, Zhen Liu, et al.. (2019). Identification of Novel Risk Loci with Shared Effects on Alcoholism, Heroin and Methamphetamine Dependence. SSRN Electronic Journal. 2 indexed citations
9.
Zhang, Yang, Yan Sun, Yankun Sun, et al.. (2019). Risk factors and an early prediction model for persistent methamphetamine‐related psychiatric symptoms. Addiction Biology. 25(1). e12709–e12709. 14 indexed citations
10.
Chang, Xiangwen, et al.. (2018). A Review of Risk Factors for Methamphetamine-Related Psychiatric Symptoms. Frontiers in Psychiatry. 9. 603–603. 17 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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