Chao Su

517 total citations · 1 hit paper
7 papers, 381 citations indexed

About

Chao Su is a scholar working on Sociology and Political Science, Information Systems and Management and Surgery. According to data from OpenAlex, Chao Su has authored 7 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Sociology and Political Science, 2 papers in Information Systems and Management and 1 paper in Surgery. Recurrent topics in Chao Su's work include Technology Adoption and User Behaviour (2 papers), Digital Marketing and Social Media (2 papers) and Genital Health and Disease (1 paper). Chao Su is often cited by papers focused on Technology Adoption and User Behaviour (2 papers), Digital Marketing and Social Media (2 papers) and Genital Health and Disease (1 paper). Chao Su collaborates with scholars based in China, Taiwan and United States. Chao Su's co-authors include Qingfei Min, Bo Wang, Eusébio Scornavacca, Zilong Liu, Pedro Puech‐Leão, Sidney Glina, Wenjin Zhao, Jun Wang, Jinghua Tan and Fu-Sheng Tsai and has published in prestigious journals such as European Urology, Information & Management and International Journal of Information Management.

In The Last Decade

Chao Su

6 papers receiving 359 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine Learning based Digital Twin Framework for Production Optimization in Petrochemical Industry

2019 323 citations Qingfei Min, Chao Su et al. International Journal of Information Management profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chao Su China	4	220	50	50	38	37	7	381
Bilge Gokhan Çelik United States	7	239 1.1×	35 0.7×	37 0.7×	24 0.6×	73 2.0×	15	495
Aditya Akundi United States	6	203 0.9×	56 1.1×	50 1.0×	21 0.6×	43 1.2×	38	375
Mohammed M. Mabkhot Saudi Arabia	8	284 1.3×	53 1.1×	57 1.1×	21 0.6×	38 1.0×	15	420
Zoltán Rajnai Hungary	9	114 0.5×	39 0.8×	44 0.9×	31 0.8×	89 2.4×	59	335
Nikoletta Boli Greece	14	287 1.3×	66 1.3×	59 1.2×	23 0.6×	35 0.9×	16	464
Carmen Constantinescu Germany	14	291 1.3×	41 0.8×	56 1.1×	20 0.5×	28 0.8×	50	561
Wanqing Xia New Zealand	3	266 1.2×	40 0.8×	44 0.9×	48 1.3×	20 0.5×	6	392
Stefan Wellsandt Germany	11	179 0.8×	36 0.7×	34 0.7×	17 0.4×	34 0.9×	26	330
Zhaojun Qin New Zealand	6	407 1.9×	51 1.0×	55 1.1×	60 1.6×	26 0.7×	8	548
Jan Schlechtendahl Germany	8	319 1.4×	39 0.8×	54 1.1×	41 1.1×	43 1.2×	14	458

Countries citing papers authored by Chao Su

Since Specialization

Citations

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

Fields of papers citing papers by Chao Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Su

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Su. A scholar is included among the top collaborators of Chao Su 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 Chao Su. Chao Su 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:

7 of 7 papers shown

1.

Su, Chao, et al.. (2024). Investigating the lurking mechanism of SNS users: a comprehensive examination of context-specific cues and role stresses. Information Technology and People. 39(1). 205–239.

2.

Wang, Jun, et al.. (2023). A study of crude oil futures price volatility based on multi-dimensional data from event-driven and deep learning perspectives. Applied Soft Computing. 146. 110548–110548. 2 indexed citations

3.

Su, Chao, Qingfei Min, Eusébio Scornavacca, & Zilong Liu. (2021). A Dual-role Trust Model for Social Commerce: A Guanxi Perspective. Information & Management. 58(7). 103512–103512. 36 indexed citations

4.

Su, Chao. (2021). The Background Significance and Results Combing of the Research on the Quality Evaluation System of the Party Building Work in Colleges and Universities in the New Era. 2(4). 2 indexed citations

5.

Min, Qingfei, et al.. (2019). Machine Learning based Digital Twin Framework for Production Optimization in Petrochemical Industry. International Journal of Information Management. 49. 502–519. 323 indexed citations breakdown →

6.

Min, Qingfei, et al.. (2015). Bird flu (H7N9) outbreak and its implications on the supply chain of poultry meat in China. The Journal of Applied Poultry Research. 24(2). 215–221. 15 indexed citations

7.

Su, Chao, et al.. (1990). Surgical Exclusion of the Crural Ending of the Corpora cavernosa:Late Results. European Urology. 18(1). 42–44. 3 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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