Wei Hong

1.6k total citations
58 papers, 1.2k citations indexed

About

Wei Hong is a scholar working on Education, Sociology and Political Science and Clinical Psychology. According to data from OpenAlex, Wei Hong has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Education, 20 papers in Sociology and Political Science and 11 papers in Clinical Psychology. Recurrent topics in Wei Hong's work include Impact of Technology on Adolescents (18 papers), Forest, Soil, and Plant Ecology in China (13 papers) and Child Development and Digital Technology (10 papers). Wei Hong is often cited by papers focused on Impact of Technology on Adolescents (18 papers), Forest, Soil, and Plant Ecology in China (13 papers) and Child Development and Digital Technology (10 papers). Wei Hong collaborates with scholars based in China, United States and Australia. Wei Hong's co-authors include Ru‐De Liu, Yi Ding, Rui Zhen, Shuyang Jiang, Xiaotian Sheng, Xinchen Fu, Tian P. S. Oei, Bijian Tang, Donghai Wu and Xiang Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Computers in Human Behavior.

In The Last Decade

Wei Hong

52 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
Wei Hong China 22 575 382 328 214 143 58 1.2k
Jeffrey G. Snodgrass United States 20 802 1.4× 207 0.5× 240 0.7× 215 1.0× 144 1.0× 66 1.3k
Wenliang Su China 9 542 0.9× 274 0.7× 159 0.5× 69 0.3× 78 0.5× 12 703
Christopher Wolsko United States 17 961 1.7× 81 0.2× 153 0.5× 536 2.5× 54 0.4× 24 1.5k
Xuezhao Lan China 6 396 0.7× 438 1.1× 238 0.7× 464 2.2× 220 1.5× 7 1.5k
Rainer Romero‐Canyas United States 15 547 1.0× 46 0.1× 256 0.8× 489 2.3× 127 0.9× 30 1.2k
Kevin Doherty Denmark 20 478 0.8× 55 0.1× 198 0.6× 332 1.6× 162 1.1× 43 1.7k
Nathaniel Geiger United States 18 822 1.4× 60 0.2× 98 0.3× 267 1.2× 123 0.9× 34 1.3k
Matthew J. Smith United Kingdom 17 331 0.6× 178 0.5× 193 0.6× 484 2.3× 35 0.2× 82 1.5k
Anthony D. G. Marks Australia 20 647 1.1× 49 0.1× 250 0.8× 282 1.3× 194 1.4× 40 1.4k
Panu Pihkala Finland 16 1.1k 2.0× 141 0.4× 149 0.5× 287 1.3× 269 1.9× 46 1.8k

Countries citing papers authored by Wei Hong

Since Specialization
Citations

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

Fields of papers citing papers by Wei Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Hong. A scholar is included among the top collaborators of Wei Hong 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 Wei Hong. Wei Hong 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
2.
Jiang, Ronghuan, et al.. (2024). Overcoming the gap between knowledge and use in mathematical flexibility: Examining the role of inhibitory control. Learning and Instruction. 95. 102033–102033.
3.
Liu, Ru‐De, et al.. (2024). Beyond the Wish: Actual Mobile Phone Use Surpassing Desire Brings More Distress. International Journal of Mental Health and Addiction. 23(5). 3525–3539.
4.
Wang, Jia, et al.. (2024). How Parental Mediation and Parental Phubbing Affect Preschool Children’s Screen Media Use: A Response Surface Analysis. Cyberpsychology Behavior and Social Networking. 27(9). 651–657. 2 indexed citations
5.
Hong, Wei, Jon R. Star, Ru‐De Liu, Ronghuan Jiang, & Xinchen Fu. (2023). A Systematic Review of Mathematical Flexibility: Concepts, Measurements, and Related Research. Educational Psychology Review. 35(4). 11 indexed citations
6.
Yang, Xiantong, et al.. (2022). Home Quarantine Behavior in College Students: The Internal Mechanism and Cross-National Differences. SHILAP Revista de lepidopterología. 1 indexed citations
7.
Hong, Wei, Ru‐De Liu, Yi Ding, et al.. (2020). Self-Esteem Moderates the Effect of Compromising Thinking on Forgiveness Among Chinese Early Adolescents. Frontiers in Psychology. 11. 104–104. 7 indexed citations
8.
Hong, Wei, Ru‐De Liu, Yi Ding, Xiaotian Sheng, & Rui Zhen. (2020). Mobile phone addiction and cognitive failures in daily life: The mediating roles of sleep duration and quality and the moderating role of trait self-regulation. Addictive Behaviors. 107. 106383–106383. 88 indexed citations
9.
Lin, Yongming, et al.. (2017). Distribution characteristics of soil organic carbon storage and carbon density from damaged vegetation under different climate types in Wenchuan earthquake region.. 37(12). 1498–1507. 1 indexed citations
10.
He, Dongjin, et al.. (2012). Spatial distribution pattern of coarse woody debris (CWD) in two typical forest types in Tianbaoyan National Nature Reserve. World Automation Congress. 1–8. 1 indexed citations
11.
He, Dongjin, et al.. (2012). Coordinated mechanism of Coarse Woody Debris's response and adaptation to global changes in forest ecosystems. World Automation Congress. 1–9. 1 indexed citations
12.
Liu, Jinfu, et al.. (2011). Analysis on classification and species diversity of Pinus taiwanensis community in Daiyun Mountain National Nature Reserve. Zhiwu ziyuan yu huanjing. 20(3). 82–88. 4 indexed citations
13.
Liu, Jinfu, et al.. (2010). Study on compositions and geographical elements of vascular plants in Castanopsis fabri community, Daiyun Mountain.. JOURNAL OF WUHAN BOTANICAL RESEARCH. 28(1). 27–33. 1 indexed citations
14.
Hong, Wei, Xiaochun Cheng, & Ke Zhao. (2007). On the relationship between research productivity and teaching effectiveness at research universities. Frontiers of Education in China. 2(2). 298–306. 8 indexed citations
15.
Hong, Wei. (2006). Study on the Relation between Research Productivity and Teaching Effectiveness in University. Xinli fazhan yu jiaoyu.
16.
Hong, Wei. (2006). Ecological Niche in Dominant Species in Tsuga longibracteata Forest Gaps with Different Development Stages. Redai yaredai zhiwu xuebao. 1 indexed citations
17.
Wu, Chengzhen, et al.. (2004). Analysis on characteristics of plant life-form and leaf in rare and endangered plant Tsuga longibracteata community. Zhiwu ziyuan yu huanjing. 13(4). 35–38. 1 indexed citations
18.
Liao, Chengzhang, et al.. (2004). Study on the spatial distribution of floristic composition in the middle subtropical evergreen broad-leaved forest in Fujian Province. Shandong Nongye Daxue xuebao. 35(3). 352–356.
19.
Liu, Jinfu, et al.. (1998). A study on regulative model of Castanopsis kawakamii population. Redai yaredai zhiwu xuebao. 6(4). 309–314. 1 indexed citations
20.
Wu, Chengzhen & Wei Hong. (1997). Study on Weibull model for species abundance distribution of Tsoongiodendron odorum forest. Fujian linxueyuan xuebao. 17(1). 20–24. 4 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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