Fengjing Shao

577 total citations
42 papers, 419 citations indexed

About

Fengjing Shao is a scholar working on Transportation, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Fengjing Shao has authored 42 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Transportation, 7 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Fengjing Shao's work include Transportation Planning and Optimization (8 papers), Complex Network Analysis Techniques (6 papers) and Traffic Prediction and Management Techniques (4 papers). Fengjing Shao is often cited by papers focused on Transportation Planning and Optimization (8 papers), Complex Network Analysis Techniques (6 papers) and Traffic Prediction and Management Techniques (4 papers). Fengjing Shao collaborates with scholars based in China, Japan and Sweden. Fengjing Shao's co-authors include Yi Sui, Xiang Yu, Yi Sui, Haoran Zhang, Xuan Song, Changying Wang, Shujing Li, Gang Li, Ryosuke Shibasaki and Meng Yuan and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and IEEE Access.

In The Last Decade

Fengjing Shao

40 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengjing Shao China 10 181 111 51 38 38 42 419
Pengfei Lin China 12 231 1.3× 63 0.6× 79 1.5× 83 2.2× 61 1.6× 33 632
Biao He China 14 183 1.0× 51 0.5× 108 2.1× 35 0.9× 7 0.2× 38 467
Jincheng Jiang China 12 320 1.8× 49 0.4× 133 2.6× 35 0.9× 6 0.2× 35 684
Xin Yao China 10 212 1.2× 28 0.3× 108 2.1× 45 1.2× 12 0.3× 14 436
John W. Baugh United States 11 31 0.2× 61 0.5× 64 1.3× 44 1.2× 6 0.2× 50 428
Yi Sui China 10 143 0.8× 150 1.4× 46 0.9× 33 0.9× 4 0.1× 35 420
Pingping Xiong China 13 35 0.2× 20 0.2× 17 0.3× 31 0.8× 20 0.5× 35 655
Shishuo Xu China 11 140 0.8× 12 0.1× 131 2.6× 52 1.4× 5 0.1× 25 375
Andy Berres United States 8 29 0.2× 23 0.2× 86 1.7× 27 0.7× 14 0.4× 38 301

Countries citing papers authored by Fengjing Shao

Since Specialization
Citations

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

Fields of papers citing papers by Fengjing Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengjing Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Fengjing Shao. A scholar is included among the top collaborators of Fengjing Shao 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 Fengjing Shao. Fengjing Shao 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.
Shao, Fengjing, et al.. (2024). A Multi-Information Dissemination Model Based on Cellular Automata. Mathematics. 12(6). 914–914. 6 indexed citations
2.
Liu, Jian, et al.. (2023). Power-law initialization algorithm for convolutional neural networks. Neural Computing and Applications. 35(30). 22431–22447. 1 indexed citations
3.
Shao, Fengjing, et al.. (2022). A New Perspective on Traffic Flow Prediction: A Graph Spatial-Temporal Network with Complex Network Information. Electronics. 11(15). 2432–2432. 8 indexed citations
4.
Shao, Fengjing, et al.. (2021). Traffic station classification based on deep spatio-temporal network. Computers & Electrical Engineering. 97. 107558–107558. 2 indexed citations
5.
Shao, Fengjing, et al.. (2021). Mathematical Model Construction of the Production Workshop Based on the Complex Network and Markov Theory. Mathematical Problems in Engineering. 2021. 1–10. 1 indexed citations
6.
Shao, Fengjing, et al.. (2021). An Efficient Short-Term Traffic Speed Prediction Model Based on Improved TCN and GCN. Sensors. 21(20). 6735–6735. 12 indexed citations
7.
Sui, Yi, Haoran Zhang, Wen‐Long Shang, et al.. (2020). Mining urban sustainable performance: Spatio-temporal emission potential changes of urban transit buses in post-COVID-19 future. Applied Energy. 280. 115966–115966. 42 indexed citations
8.
Shao, Fengjing, et al.. (2020). Feature and spatial relationship coding capsule network. Journal of Electronic Imaging. 29(2). 1–1. 8 indexed citations
9.
Shao, Fengjing, et al.. (2019). Spatio-temporal travel patterns of elderly people – A comparative study based on buses usage in Qingdao, China. Journal of Transport Geography. 76. 178–190. 56 indexed citations
10.
Li, Gang, et al.. (2018). Positivity-preserving well-balanced discontinuous Galerkin methods for the shallow water flows in open channels. Advances in Water Resources. 115. 172–184. 16 indexed citations
11.
Shao, Fengjing, et al.. (2017). An automatic detection of green tide using multi-windows with their adaptive threshold from Landsat TM/ETM plus image. Acta Oceanologica Sinica. 36(11). 106–114. 5 indexed citations
12.
Shao, Fengjing, et al.. (2017). Water quality assessment with hierarchical cluster analysis based on Mahalanobis distance. Environmental Monitoring and Assessment. 189(7). 335–335. 40 indexed citations
13.
Shao, Fengjing, et al.. (2017). Complex network modeling for mechanisms of red tide occurrence: A case study in Bohai Sea and North Yellow Sea of China. Ecological Modelling. 361. 41–48. 9 indexed citations
14.
Shao, Fengjing, et al.. (2016). Complex network model of the Treatise on Cold Damage Disorders. Physica A Statistical Mechanics and its Applications. 460. 152–161. 3 indexed citations
15.
Shao, Fengjing, et al.. (2013). Red Tide Forecast with Semi-supervised Clustering. 81–86. 1 indexed citations
16.
Shao, Fengjing & Yi Sui. (2013). Reorganizations of complex networks: Compounding and reducing. International Journal of Modern Physics C. 25(5). 1440001–1440001. 7 indexed citations
17.
Shao, Fengjing, et al.. (2012). Study on coastline changes of yellow river estuary using semi-supervised clustering. 1952–1955. 1 indexed citations
18.
Gao, Ke, et al.. (2010). n-INCLOF: A dynamic local outlier detection algorithm for data streams. V2–179. 3 indexed citations
19.
Shao, Fengjing. (2009). Complexity of Qingdao′s Public Transport Line Network. 2 indexed citations
20.
Zhang, Jie & Fengjing Shao. (2009). Stock Data Analysis Based on BP Neural Network. 288–291. 2 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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