Yang Qian

888 total citations · 1 hit paper
32 papers, 627 citations indexed

About

Yang Qian is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Yang Qian has authored 32 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Sociology and Political Science and 7 papers in Information Systems. Recurrent topics in Yang Qian's work include Digital Marketing and Social Media (9 papers), Sentiment Analysis and Opinion Mining (8 papers) and Complex Network Analysis Techniques (5 papers). Yang Qian is often cited by papers focused on Digital Marketing and Social Media (9 papers), Sentiment Analysis and Opinion Mining (8 papers) and Complex Network Analysis Techniques (5 papers). Yang Qian collaborates with scholars based in China, United States and Australia. Yang Qian's co-authors include Xiaojun Ma, Yuanbo Yu, Dehua Wang, Yuanchun Jiang, Rok Cerne, Dennis Sprous, Robert W. Bryant, Yezheng Liu, Yidong Chai and Jianshan Sun and has published in prestigious journals such as Scientific Reports, European Journal of Operational Research and Journal of Business Research.

In The Last Decade

Yang Qian

30 papers receiving 600 citations

Hit Papers

Study on a prediction of P2P network loan default based o... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Qian China 10 180 104 93 80 53 32 627
Wei Geng China 13 37 0.2× 9 0.1× 14 0.2× 143 1.8× 12 0.2× 45 534
Xiaojun Ma China 11 207 1.1× 104 1.0× 69 0.9× 78 1.5× 39 576
Taufik Djatna Indonesia 14 101 0.6× 7 0.1× 4 0.0× 85 1.1× 151 2.8× 150 697
Dutta United States 7 156 0.9× 68 0.7× 49 0.6× 51 1.0× 31 390
Tie Li China 11 171 0.9× 56 0.5× 56 0.7× 148 2.8× 38 749
Stefan Krämer Germany 21 528 2.9× 7 0.1× 26 0.3× 10 0.1× 244 4.6× 84 1.4k
Mohamed Limam Tunisia 18 251 1.4× 34 0.3× 1 0.0× 207 2.6× 45 0.8× 64 1.1k
Zhaohui Zhang China 14 191 1.1× 48 0.5× 25 0.3× 195 3.7× 100 697
Yuejin Zhang China 14 72 0.4× 65 0.6× 108 1.4× 62 1.2× 82 818

Countries citing papers authored by Yang Qian

Since Specialization
Citations

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

Fields of papers citing papers by Yang Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Qian. A scholar is included among the top collaborators of Yang Qian 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 Yang Qian. Yang Qian 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
1.
Qian, Yang, Zebin Wei, Qi‐Tang Wu, et al.. (2025). Effect of environmental factors on laccase-mediated 17β-estradiol coupling reaction. Scientific Reports. 15(1). 14765–14765. 1 indexed citations
2.
Yu, Shuo, Yidong Chai, Yang Qian, et al.. (2024). A Bayesian deep recommender system for uncertainty-aware online physician recommendation. Information & Management. 61(7). 104027–104027. 2 indexed citations
3.
Olson, Andrew, Juliane E. Kämmer, Ahmed Taher, et al.. (2024). The inseparability of context and clinical reasoning. Journal of Evaluation in Clinical Practice. 30(4). 533–538. 5 indexed citations
4.
Qian, Yang, et al.. (2024). Voice of the Professional: Acquiring competitive intelligence from large-scale professional generated contents. Journal of Business Research. 180. 114719–114719. 2 indexed citations
5.
Wang, Kangwei, Yang Qian, Jie Xie, Jun Wang, & Weiguo Huang. (2024). A wideband damage source localization method using enhanced virtual time reversal mirror technique and modal analysis with sparse acoustic emission array. Applied Acoustics. 229. 110405–110405. 2 indexed citations
6.
Zhou, Fan, Yuanchun Jiang, Yang Qian, Yezheng Liu, & Yidong Chai. (2023). Product consumptions meet reviews: Inferring consumer preferences by an explainable machine learning approach. Decision Support Systems. 177. 114088–114088. 11 indexed citations
7.
Liu, Xinyu, et al.. (2023). Learning consumer preferences through textual and visual data: a multi-modal approach. Electronic Commerce Research. 25(4). 2955–2984.
8.
Liu, Yezheng, Yidong Chai, Jianshan Sun, et al.. (2023). A deep interpretable representation learning method for speech emotion recognition. Information Processing & Management. 60(6). 103501–103501. 13 indexed citations
9.
Qian, Yang, et al.. (2022). Identification of Key Features for VR Applications with VREVIEW: A Topic Model Approach. 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 14. 183–188. 3 indexed citations
10.
Li, Hao, et al.. (2022). A novel label-based multimodal topic model for social media analysis. Decision Support Systems. 164. 113863–113863. 11 indexed citations
11.
Jiang, Yuanchun, et al.. (2021). Network Public Opinion Detection During the Coronavirus Pandemic: A Short-Text Relational Topic Model. ACM Transactions on Knowledge Discovery from Data. 16(3). 1–27. 9 indexed citations
12.
Feng, Ping, et al.. (2021). Research on Barrage Sentiment Ontology Construction Based on SO-PMI Algorithm. 22. 441–444. 1 indexed citations
13.
Liu, Yezheng, Jicheng Wang, Yang Qian, et al.. (2021). Dynamic Topic Model for Tracking Topic Evolution and Measuring Popularity of Scientific Literature. 315–320. 1 indexed citations
14.
Qian, Yang, Yezheng Liu, Yuanchun Jiang, & Xiao Liu. (2019). Detecting topic-level influencers in large-scale scientific networks. World Wide Web. 23(2). 831–851. 2 indexed citations
15.
Qian, Yang, Yuanchun Jiang, Yanan Du, Jianshan Sun, & Yezheng Liu. (2019). Segmenting market structure from multi-channel clickstream data: a novel generative model. Electronic Commerce Research. 20(3). 509–533. 7 indexed citations
16.
Ma, Xiaojun, et al.. (2018). Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning. Electronic Commerce Research and Applications. 31. 24–39. 335 indexed citations breakdown →
17.
Qian, Yang, et al.. (2012). The Study on Land Reclamation Technology and Ecological Control for Coal Mining Subsidence Area. Advanced materials research. 446-449. 2973–2977. 4 indexed citations
18.
Qian, Yang. (2011). Improvement of the Improved BP Neural Network Forecast Method and its Application in Long-term Settlement of the Tunnel. Journal of Beijing University of Technology. 2 indexed citations
19.
Qian, Yang, et al.. (2008). Thymol and related alkyl phenols activate the hTRPA1 channel. British Journal of Pharmacology. 153(8). 1739–1749. 138 indexed citations
20.
Huang, Wei, Yang Qian, Witawas Srisa‐an, & J. Morris Chang. (2005). Object allocation and memory contention study of Java multithreaded applications. 375–382. 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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