Guancan Yang

411 total citations
16 papers, 270 citations indexed

About

Guancan Yang is a scholar working on Molecular Biology, Management of Technology and Innovation and Artificial Intelligence. According to data from OpenAlex, Guancan Yang has authored 16 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Management of Technology and Innovation and 5 papers in Artificial Intelligence. Recurrent topics in Guancan Yang's work include Biomedical Text Mining and Ontologies (6 papers), Intellectual Property and Patents (5 papers) and Topic Modeling (4 papers). Guancan Yang is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Intellectual Property and Patents (5 papers) and Topic Modeling (4 papers). Guancan Yang collaborates with scholars based in China, United States and Taiwan. Guancan Yang's co-authors include Shuo Xu, Lijun Zhu, Jing Zhang, Kun Lü, Xiaoping Lei, Liang Chen, Xin An, Feifei Wang, Chunya Li and Yun-Hua Zhao and has published in prestigious journals such as Technological Forecasting and Social Change, Scientometrics and Journal of Informetrics.

In The Last Decade

Guancan Yang

14 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guancan Yang China	8	95	73	56	51	33	16	270
Seung‐Hoon Na South Korea	11	28 0.3×	385 5.3×	39 0.7×	20 0.4×	83 2.5×	64	573
Melika Mosleh United Kingdom	6	9 0.1×	45 0.6×	60 1.1×	47 0.9×	18 0.5×	6	252
Patrick Glenisson Belgium	8	20 0.2×	118 1.6×	17 0.3×	50 1.0×	128 3.9×	10	310
Julian Risch Germany	11	87 0.9×	214 2.9×	23 0.4×	2 0.0×	21 0.6×	26	339
In-Su Kang South Korea	8	26 0.3×	190 2.6×	4 0.1×	20 0.4×	84 2.5×	36	292
Ana Lelescu United States	7	12 0.1×	69 0.9×	8 0.1×	5 0.1×	48 1.5×	12	188
Ashwin Ittoo Netherlands	9	6 0.1×	104 1.4×	31 0.6×	12 0.2×	18 0.5×	26	246
Yonghe Lu China	7	24 0.3×	176 2.4×	6 0.1×	3 0.1×	13 0.4×	25	283
Mehmet Ali Balcı Türkiye	10	12 0.1×	12 0.2×	146 2.6×	3 0.1×	8 0.2×	49	324

Countries citing papers authored by Guancan Yang

Since Specialization

Citations

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

Fields of papers citing papers by Guancan Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guancan Yang

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

All Works

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16 of 16 papers shown

Yang, Guancan, et al.. (2024). A novel approach to enterprise technical collaboration: Recommending R&D partners through technological similarity and complementarity. Journal of Informetrics. 18(4). 101571–101571. 1 indexed citations

Yang, Guancan, Di Liu, Ling Chen, & Kun Lü. (2024). Integrating persistence process into the analysis of technology convergence using STERGM. Journal of Informetrics. 19(1). 101632–101632.

Yang, Guancan, et al.. (2024). A framework armed with node dynamics for predicting technology convergence. Journal of Informetrics. 18(4). 101583–101583. 4 indexed citations

Yang, Guancan, et al.. (2023). Which type of dynamic indicators should be preferred to predict patent commercial potential?. Technological Forecasting and Social Change. 193. 122637–122637. 9 indexed citations

Chen, Liang, Shuo Xu, Lijun Zhu, et al.. (2022). A deep learning based method benefiting from characteristics of patents for semantic relation classification. Journal of Informetrics. 16(3). 101312–101312. 9 indexed citations

Xu, Shuo, et al.. (2022). A novel developmental trajectory discovery approach by integrating main path analysis and intermediacy. Journal of Information Science. 50(3). 651–672. 5 indexed citations

Chen, Liang, et al.. (2022). A semantic main path analysis method to identify multiple developmental trajectories. Journal of Informetrics. 16(2). 101281–101281. 16 indexed citations

Xu, Shuo, Ling Li, Congcong Wang, Xin An, & Guancan Yang. (2022). An improved author-topic (AT) model with authorship credit allocation schemes. Journal of Information Science. 51(1). 184–204. 1 indexed citations

Lü, Kun, Guancan Yang, & Xue Wang. (2021). Topics emerged in the biomedical field and their characteristics. Technological Forecasting and Social Change. 174. 121218–121218. 5 indexed citations

10.

Xu, Shuo, et al.. (2021). An approach for detecting the commonality and specialty between scientific publications and patents. Scientometrics. 126(9). 7445–7475. 17 indexed citations

11.

Xu, Shuo, et al.. (2020). A topic models based framework for detecting and forecasting emerging technologies. Technological Forecasting and Social Change. 162. 120366–120366. 46 indexed citations

12.

Chen, Liang, Shuo Xu, Lijun Zhu, et al.. (2020). A deep learning based method for extracting semantic information from patent documents. Scientometrics. 125(1). 289–312. 64 indexed citations

13.

Wang, Man, et al.. (2020). Exploring the Transdisciplinary Nature of Digital Humanities. 553–554. 1 indexed citations

14.

Xu, Shuo, et al.. (2019). Emerging research topics detection with multiple machine learning models. Journal of Informetrics. 13(4). 100983–100983. 47 indexed citations

15.

Yang, Guancan, Gang Li, Chunya Li, et al.. (2015). Using the comprehensive patent citation network (CPC) to evaluate patent value. Scientometrics. 105(3). 1319–1346. 44 indexed citations

16.

Yang, Guancan, et al.. (2011). A Bibliometric and Comparative Study on the Papers in ISLS of Mainland China, Taiwan and Hong Kong in the Last Ten Years Based on the SSCI Database. 13. 1–4. 1 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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