Yige Wang

1.1k total citations · 1 hit paper
7 papers, 746 citations indexed

About

Yige Wang is a scholar working on Building and Construction, Transportation and Economics and Econometrics. According to data from OpenAlex, Yige Wang has authored 7 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Building and Construction, 2 papers in Transportation and 2 papers in Economics and Econometrics. Recurrent topics in Yige Wang's work include Traffic Prediction and Management Techniques (3 papers), Railway Systems and Energy Efficiency (2 papers) and Land Use and Ecosystem Services (2 papers). Yige Wang is often cited by papers focused on Traffic Prediction and Management Techniques (3 papers), Railway Systems and Energy Efficiency (2 papers) and Land Use and Ecosystem Services (2 papers). Yige Wang collaborates with scholars based in China, Canada and Hong Kong. Yige Wang's co-authors include Li Zhu, Bin Ning, Tao Tang, F. Richard Yu, Hongli Zhao, Ziyu Yin, Li Zhu, Ruoxu Wang, Sensen Wu and Zhang Li and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Geoscientific model development and Journal of Transportation Systems Engineering and Information Technology.

In The Last Decade

Yige Wang

7 papers receiving 726 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Big Data Analytics in Intelligent Transportation Systems: A Survey

2018 727 citations Li Zhu, F. Richard Yu et al. IEEE Transactions on Intelligent Transportation Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yige Wang China	4	368	244	153	139	106	7	746
Khac‐Hoai Nam Bui South Korea	14	264 0.7×	182 0.7×	194 1.3×	135 1.0×	100 0.9×	28	675
Yilong Ren China	16	316 0.9×	216 0.9×	271 1.8×	178 1.3×	208 2.0×	85	831
Wei-Hsun Lee Taiwan	13	298 0.8×	218 0.9×	187 1.2×	172 1.2×	118 1.1×	29	693
Songhang Chen China	8	190 0.5×	182 0.7×	206 1.3×	109 0.8×	81 0.8×	22	625
Antonio D. Masegosa Spain	14	357 1.0×	246 1.0×	178 1.2×	94 0.7×	82 0.8×	49	862
Huan Yan China	12	357 1.0×	225 0.9×	134 0.9×	70 0.5×	35 0.3×	49	671
Ugur Demiryurek United States	17	366 1.0×	396 1.6×	127 0.8×	97 0.7×	129 1.2×	29	922
Allan M. de Souza Brazil	16	371 1.0×	188 0.8×	268 1.8×	446 3.2×	144 1.4×	67	809
Quanjun Chen Japan	12	471 1.3×	346 1.4×	113 0.7×	68 0.5×	45 0.4×	32	800
Dayong Shen China	13	413 1.1×	442 1.8×	109 0.7×	111 0.8×	207 2.0×	36	1.2k

Countries citing papers authored by Yige Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yige Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yige Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Wu, Sensen, Ruoxu Wang, Yige Wang, et al.. (2025). Using an attention-based architecture to incorporate context similarity into spatial non-stationarity estimation. International Journal of Geographical Information Systems. 39(7). 1460–1483. 2 indexed citations

2.

Yin, Ziyu, et al.. (2024). GNNWR: an open-source package of spatiotemporal intelligent regression methods for modeling spatial and temporal nonstationarity. Geoscientific model development. 17(22). 8455–8468. 2 indexed citations

3.

Wang, Yige. (2021). House-price Prediction Based on OLS Linear Regression and Random Forest. 89–93. 4 indexed citations

4.

Li, Xia, et al.. (2020). Stability Analysis of Complex Heterogeneous Traffic Flow under Connected and Autonomous Environment. Journal of Transportation Systems Engineering and Information Technology. 20(6). 114. 2 indexed citations

5.

Wang, Yige, et al.. (2018). Leveraging Big Data Analytics for Train Schedule Optimization in Urban Rail Transit Systems. 1928–1932. 4 indexed citations

6.

Zhu, Li, F. Richard Yu, Yige Wang, Bin Ning, & Tao Tang. (2018). Big Data Analytics in Intelligent Transportation Systems: A Survey. IEEE Transactions on Intelligent Transportation Systems. 20(1). 383–398. 727 indexed citations breakdown →

7.

Wang, Yige, Li Zhu, & Hongli Zhao. (2017). Handover performance test and analysis in TD-LTE based CBTC train ground communication systems. 21. 3655–3660. 5 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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