Bing Song

486 total citations
18 papers, 383 citations indexed

About

Bing Song is a scholar working on Control and Systems Engineering, Mechanical Engineering and Analytical Chemistry. According to data from OpenAlex, Bing Song has authored 18 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 10 papers in Mechanical Engineering and 6 papers in Analytical Chemistry. Recurrent topics in Bing Song's work include Fault Detection and Control Systems (13 papers), Mineral Processing and Grinding (10 papers) and Spectroscopy and Chemometric Analyses (6 papers). Bing Song is often cited by papers focused on Fault Detection and Control Systems (13 papers), Mineral Processing and Grinding (10 papers) and Spectroscopy and Chemometric Analyses (6 papers). Bing Song collaborates with scholars based in China and Vietnam. Bing Song's co-authors include Hongbo Shi, Shuai Tan, Yawei Yang, Meihua Wan, Ping Xue, Qing Xia, Zhaoda Zhang, Lihui Deng, Jianping Wang and Bo Zhao and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Industrial & Engineering Chemistry Research.

In The Last Decade

Bing Song

18 papers receiving 372 citations

Peers

Bing Song

CSE

SPU

SURGE

Yale Zhang Canada

Jiayu Luo China

Qiaojun Wen China

I. Matsuura Japan

C.W. Chan Hong Kong

R. Lavie Israel

Marta Basualdo Argentina

Zhengxin Weng China

Ignacio Martin-Diaz Spain

Yanfang Zhang China

Yale Zhang Canada

Bing Song

285 ×1.1

CSE

146 ×0.7

32 ×0.4

52 ×0.7

SPU

59 ×0.9

SURGE

Citations per year, relative to Bing Song Bing Song (= 1×) peers Yale Zhang

Countries citing papers authored by Bing Song

Since Specialization

Citations

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

Fields of papers citing papers by Bing Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Song

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

All Works

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18 of 18 papers shown

Wang, Kun, et al.. (2025). Online weighted dynamic time-difference neighborhood preserving embedding for dynamic process monitoring. Journal of the Taiwan Institute of Chemical Engineers. 172. 106035–106035. 1 indexed citations

Fu, Xiaomin, Shengxiang Fu, Zhongyuan Cai, et al.. (2022). Manganese porphyrin/ICG nanoparticles as magnetic resonance/fluorescent dual-mode probes for imaging of sentinel lymph node metastasis. Journal of Materials Chemistry B. 10(48). 10065–10074. 12 indexed citations

Song, Bing, Xinggui Zhou, Shuai Tan, et al.. (2019). Process Monitoring via Key Principal Components and Local Information Based Weights. IEEE Access. 7. 15357–15366. 9 indexed citations

Song, Bing, et al.. (2018). Fault Detection and Classification Using Quality-Supervised Double-Layer Method. IEEE Transactions on Industrial Electronics. 65(10). 8163–8172. 48 indexed citations

Song, Bing & Hongbo Shi. (2018). Temporal-Spatial Global Locality Projections for Multimode Process Monitoring. IEEE Access. 6. 9740–9749. 35 indexed citations

Tao, Yang, Hongbo Shi, Bing Song, & Shuai Tan. (2018). Operating performance assessment and non‐optimal cause identification for chemical process. The Canadian Journal of Chemical Engineering. 97(S1). 1475–1487. 3 indexed citations

Huang, Yecai, Jianming Huang, Mei Feng, et al.. (2017). Early changes in the apparent diffusion coefficient and MMP‑9 expression of a cervical carcinoma U14 allograft model following irradiation. Oncology Letters. 14(6). 6769–6775. 3 indexed citations

Song, Bing, Shuai Tan, & Hongbo Shi. (2016). Time–space locality preserving coordination for multimode process monitoring. Chemometrics and Intelligent Laboratory Systems. 151. 190–200. 17 indexed citations

Song, Bing, Shuai Tan, & Hongbo Shi. (2016). Process monitoring via enhanced neighborhood preserving embedding. Control Engineering Practice. 50. 48–56. 39 indexed citations

10.

Song, Bing, Shuai Tan, & Hongbo Shi. (2016). Key principal components with recursive local outlier factor for multimode chemical process monitoring. Journal of Process Control. 47. 136–149. 40 indexed citations

11.

Song, Bing, et al.. (2015). Improved performance of process monitoring based on selection of key principal components. Chinese Journal of Chemical Engineering. 23(12). 1951–1957. 8 indexed citations

12.

Yang, Yawei, et al.. (2015). An aligned mixture probabilistic principal component analysis for fault detection of multimode chemical processes. Chinese Journal of Chemical Engineering. 23(8). 1357–1363. 11 indexed citations

13.

Song, Bing, et al.. (2014). Neighborhood based global coordination for multimode process monitoring. Chemometrics and Intelligent Laboratory Systems. 139. 84–96. 14 indexed citations

14.

Song, Bing, et al.. (2014). Multisubspace Principal Component Analysis with Local Outlier Factor for Multimode Process Monitoring. Industrial & Engineering Chemistry Research. 53(42). 16453–16464. 31 indexed citations

15.

Song, Bing, et al.. (2014). Fault detection via local and nonlocal embedding. Process Safety and Environmental Protection. 94. 538–548. 40 indexed citations

16.

Xue, Ping, Lihui Deng, Zhaoda Zhang, et al.. (2009). Effect of antibiotic prophylaxis on acute necrotizing pancreatitis: Results of a randomized controlled trial. Journal of Gastroenterology and Hepatology. 24(5). 736–742. 38 indexed citations

17.

Xue, Ping, Lihui Deng, Zhaoda Zhang, et al.. (2008). Infectious Complications in Patients with Severe Acute Pancreatitis. Digestive Diseases and Sciences. 54(12). 2748–2753. 27 indexed citations

18.

Zhou, Shaobing, Bing Song, & Xiaohong Li. (2007). In vitro degradation and release profiles for Poly-dl-lactide film containing paracetamol. Journal of Materials Science Materials in Medicine. 18(8). 1623–1626. 7 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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