Chunyun Shi

465 total citations
9 papers, 367 citations indexed

About

Chunyun Shi is a scholar working on Sociology and Political Science, Economics and Econometrics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Chunyun Shi has authored 9 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 3 papers in Economics and Econometrics and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Chunyun Shi's work include Diverse Aspects of Tourism Research (6 papers), Digital Marketing and Social Media (3 papers) and Regional Economic and Spatial Analysis (3 papers). Chunyun Shi is often cited by papers focused on Diverse Aspects of Tourism Research (6 papers), Digital Marketing and Social Media (3 papers) and Regional Economic and Spatial Analysis (3 papers). Chunyun Shi collaborates with scholars based in China. Chunyun Shi's co-authors include Guangxin Zhang, Weiqiang Xiao, Yiming Bi, Guohai Chu, Kailong Yuan, Guojun Zhou, Jizhong Wu, Jun Xia, Jie Zhang and Shaowen Cheng and has published in prestigious journals such as Tourism Management, Analytica Chimica Acta and Sustainability.

In The Last Decade

Chunyun Shi

9 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chunyun Shi China	7	166	110	67	49	40	9	367
Ping Song China	10	86 0.5×	110 1.0×	15 0.2×	44 0.9×	25 0.6×	35	358
Tony Davies United Kingdom	10	286 1.7×	59 0.5×	99 1.5×	94 1.9×	8 0.2×	44	715
Geert van Kollenburg Netherlands	11	162 1.0×	13 0.1×	58 0.9×	81 1.7×	18 0.5×	25	398
Sandra Cruz Portugal	11	119 0.7×	15 0.1×	26 0.4×	39 0.8×	2 0.1×	21	358
John C. Duncan United Kingdom	9	88 0.5×	12 0.1×	12 0.2×	53 1.1×	12 0.3×	18	251
Juan Ponce Ecuador	13	111 0.7×	109 1.0×	3 0.0×	36 0.7×	5 0.1×	33	528
Janet Kelly United Kingdom	9	37 0.2×	27 0.2×		18 0.4×	39 1.0×	24	414
Jin Cai China	9	21 0.1×	8 0.1×	11 0.2×	21 0.4×	2 0.1×	47	249
Jae-Su Lee South Korea	8	65 0.4×	22 0.2×	3 0.0×	8 0.2×	8 0.2×	63	430
Alexis Pang Australia	13	91 0.5×	9 0.1×	7 0.1×	79 1.6×	4 0.1×	31	411

Countries citing papers authored by Chunyun Shi

Since Specialization

Citations

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

Fields of papers citing papers by Chunyun Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunyun Shi

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Shi, Chunyun, et al.. (2023). Are all tourism review information on the platforms equally useful?. Journal of Hospitality and Tourism Management. 57. 102–111. 10 indexed citations

2.

Huang, Zhenfang, et al.. (2022). Thematic analysis of reviews on the air quality of tourist destinations from a sentiment analysis perspective. Tourism Management Perspectives. 42. 100969–100969. 11 indexed citations

3.

Zhang, Feng, et al.. (2019). Social Media Data-Based Sentiment Analysis of Tourists’ Air Quality Perceptions. Sustainability. 11(18). 5070–5070. 43 indexed citations

4.

Bi, Yiming, Kailong Yuan, Weiqiang Xiao, et al.. (2016). A local pre-processing method for near-infrared spectra, combined with spectral segmentation and standard normal variate transformation. Analytica Chimica Acta. 909. 30–40. 194 indexed citations

5.

Zhang, Honglei, Jie Zhang, Shaowen Cheng, Shaojing Lu, & Chunyun Shi. (2012). Role of constraints in Chinese calligraphic landscape experience: An extension of a leisure constraints model. Tourism Management. 33(6). 1398–1407. 58 indexed citations

6.

Shi, Chunyun. (2010). A COMPARATIVE STUDY ON IMPACT OF TOURIST FLOWS IN SPECIAL-TERM ON REGIONAL TOURISM STRUCTURE——As Illustrated by Tourist Flows of Beijing,Huangshan and Xi'an in Golden Weeks. 1 indexed citations

7.

Zhang, Jie, et al.. (2008). Chinese Calligraphy and Tourism: From Cultural Heritage to Landscape Symbol and Media of the Tourism Industry. Current Issues in Tourism. 11(6). 529–548. 26 indexed citations

8.

Zhong, Jing, et al.. (2007). Nodes and field of tourist origins to ancient village —A case study of Huangcheng Village in Shanxi Province of China. Chinese Geographical Science. 17(3). 280–287. 3 indexed citations

9.

Shi, Chunyun, et al.. (2007). Shift-share analysis on international tourism competitiveness—A case of Jiangsu Province. Chinese Geographical Science. 17(2). 173–178. 21 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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