Jianguo Pan

602 total citations
29 papers, 415 citations indexed

About

Jianguo Pan is a scholar working on Health, Toxicology and Mutagenesis, Artificial Intelligence and Geophysics. According to data from OpenAlex, Jianguo Pan has authored 29 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health, Toxicology and Mutagenesis, 7 papers in Artificial Intelligence and 7 papers in Geophysics. Recurrent topics in Jianguo Pan's work include Air Quality and Health Impacts (7 papers), Air Quality Monitoring and Forecasting (6 papers) and Vehicle emissions and performance (5 papers). Jianguo Pan is often cited by papers focused on Air Quality and Health Impacts (7 papers), Air Quality Monitoring and Forecasting (6 papers) and Vehicle emissions and performance (5 papers). Jianguo Pan collaborates with scholars based in China, United Kingdom and Taiwan. Jianguo Pan's co-authors include Bo Zhang, Maozhen Li, Guojian Zou, Yi Rong, Jie Lian, Chuang Li, Yuping Zhang, Lin Li, Zhiping Lei and Shouxian Ma and has published in prestigious journals such as Journal of Cleaner Production, Chemosphere and Atmospheric Environment.

In The Last Decade

Jianguo Pan

26 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianguo Pan China 12 146 126 119 73 65 29 415
Jianhua Yue China 13 66 0.5× 111 0.9× 128 1.1× 177 2.4× 46 0.7× 71 595
J. P. Wang China 14 166 1.1× 193 1.5× 307 2.6× 361 4.9× 104 1.6× 40 829
Jingli Wang China 11 61 0.4× 105 0.8× 173 1.5× 115 1.6× 119 1.8× 34 409
Jiandong Mao China 14 95 0.7× 99 0.8× 219 1.8× 8 0.1× 222 3.4× 82 629
Randal J. Barnes United States 15 323 2.2× 37 0.3× 47 0.4× 92 1.3× 66 1.0× 36 665
Niyazi Arslan Türkiye 14 186 1.3× 17 0.1× 94 0.8× 44 0.6× 84 1.3× 27 459

Countries citing papers authored by Jianguo Pan

Since Specialization
Citations

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

Fields of papers citing papers by Jianguo Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianguo Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Jianguo Pan. A scholar is included among the top collaborators of Jianguo Pan 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 Jianguo Pan. Jianguo Pan 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.
Pan, Jianguo, et al.. (2024). Knowledge Graph and Personalized Answer Sequences for Programming Knowledge Tracing. Applied Sciences. 14(17). 7952–7952. 2 indexed citations
2.
Zhang, Bo, et al.. (2023). Air pollutant diffusion trend prediction based on deep learning for targeted season—North China as an example. Expert Systems with Applications. 232. 120718–120718. 6 indexed citations
3.
Zhang, Bo, et al.. (2023). A spatial correlation prediction model of urban PM2.5 concentration based on deconvolution and LSTM. Neurocomputing. 544. 126280–126280. 12 indexed citations
4.
Zhang, Bo, et al.. (2022). Deep learning for air pollutant concentration prediction: A review. Atmospheric Environment. 290. 119347–119347. 113 indexed citations
5.
Lian, Jie, et al.. (2022). Tropical Cyclone Track Prediction with an Encoding-to-Forecasting Deep Learning Model. Weather and Forecasting. 37(6). 971–987. 15 indexed citations
6.
Pan, Jianguo, Huan Li, Jiajun Teng, Qin Zhao, & Maozhen Li. (2022). Dynamic Network Representation Learning Method Based on Improved GRU Network. Computing and Informatics. 41(6). 1491–1509. 1 indexed citations
7.
8.
Li, Meizi, et al.. (2022). An end-to-end air pollutant concentrations prediction algorithm based on attention mechanism for targeted season: A case study in North China. Atmospheric Pollution Research. 13(5). 101396–101396. 4 indexed citations
9.
Zhao, Qin, et al.. (2022). Time-Dependent Prediction of Microblog Propagation Trends Based on Group Features. Electronics. 11(16). 2585–2585. 1 indexed citations
10.
Chen, Yuanyuan, Luanxiao Zhao, Jianguo Pan, et al.. (2021). Deep carbonate reservoir characterisation using multi-seismic attributes via machine learning with physical constraints. Journal of Geophysics and Engineering. 18(5). 761–775. 44 indexed citations
11.
Zhang, Bo, et al.. (2021). Longer Time Span Air Pollution Prediction: The Attention and Autoencoder Hybrid Learning Model. Mathematical Problems in Engineering. 2021. 1–16. 5 indexed citations
12.
Lian, Jie, et al.. (2020). A Novel Data-Driven Tropical Cyclone Track Prediction Model Based on CNN and GRU With Multi-Dimensional Feature Selection. IEEE Access. 8. 97114–97128. 32 indexed citations
13.
14.
Pan, Jianguo, et al.. (2019). Effects of micrite microtextures on the elastic and petrophysical properties of carbonate reservoirs. Applied Geophysics. 16(4). 399–413. 1 indexed citations
15.
Pan, Jianguo, et al.. (2018). Seismic Data Optimization Method to Enhance Coherence Attributes. 33. 858–861. 1 indexed citations
16.
Piao, Hai-Tao, X.C. Jiao, Nan Gai, et al.. (2017). Perfluoroalkyl substances in waters along the Grand Canal, China. Chemosphere. 179. 387–394. 21 indexed citations
17.
Hong, Xuan, et al.. (2017). Universally composable secure proxy re-signature scheme with effective calculation. Cluster Computing. 22(S4). 10075–10084. 6 indexed citations
18.
Zhang, Bo, et al.. (2017). A Hybrid Trust Evaluation Framework for E-Commerce in Online Social Network: A Factor Enrichment Perspective. IEEE Access. 5. 7080–7096. 9 indexed citations
19.
20.
Pan, Jianguo. (2007). Study on knowledge granularity and relationship between knowledge granularities based on rough sets. Computer Engineering and Applications Journal. 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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