Weijing Shi

1.2k total citations
13 papers, 162 citations indexed

About

Weijing Shi is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Computational Mechanics. According to data from OpenAlex, Weijing Shi has authored 13 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Automotive Engineering and 3 papers in Computational Mechanics. Recurrent topics in Weijing Shi's work include Autonomous Vehicle Technology and Safety (3 papers), Advanced Neural Network Applications (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Weijing Shi is often cited by papers focused on Autonomous Vehicle Technology and Safety (3 papers), Advanced Neural Network Applications (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Weijing Shi collaborates with scholars based in China, United States and Switzerland. Weijing Shi's co-authors include Xin Li, Huafeng Yu, Mohamed Baker Alawieh, Xin Li, Zhiyi Yu, Ragunathan Rajkumar, Nikos Aréchiga, Kai Wang, Xin Li and Jingcheng Wang and has published in prestigious journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Integration and SID Symposium Digest of Technical Papers.

In The Last Decade

Weijing Shi

11 papers receiving 156 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weijing Shi China	5	77	61	46	23	23	13	162
Mihir Mody United States	11	65 0.8×	192 3.1×	63 1.4×	28 1.2×	44 1.9×	59	300
Liping Lu China	9	67 0.9×	81 1.3×	65 1.4×	61 2.7×	6 0.3×	42	245
Heejin Ahn United States	10	86 1.1×	38 0.6×	43 0.9×	102 4.4×	25 1.1×	18	213
Yuan Zhu China	9	26 0.3×	36 0.6×	202 4.4×	66 2.9×	8 0.3×	65	292
Sobhan Babu India	5	37 0.5×	167 2.7×	30 0.7×	5 0.2×	16 0.7×	9	261
Ray Lattarulo Spain	10	224 2.9×	79 1.3×	66 1.4×	189 8.2×	14 0.6×	23	292
Paolo Burgio Italy	11	47 0.6×	27 0.4×	45 1.0×	23 1.0×	157 6.8×	40	253
Phillip Karle Germany	6	127 1.6×	76 1.2×	13 0.3×	48 2.1×	8 0.3×	12	204
Aysha Naseer Pakistan	8	19 0.2×	136 2.2×	29 0.6×	5 0.2×	20 0.9×	20	265
Frederico Santos Portugal	8	17 0.2×	40 0.7×	87 1.9×	32 1.4×	18 0.8×	23	230

Countries citing papers authored by Weijing Shi

Since Specialization

Citations

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

Fields of papers citing papers by Weijing Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijing Shi

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

All Works

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13 of 13 papers shown

Shi, Weijing, et al.. (2022). Enhancing Flagman Gesture Recognition with Virtual Augmentation. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 2926–2933.

Shi, Weijing & Ragunathan Rajkumar. (2022). Self-Supervised Pretraining for Point Cloud Object Detection in Autonomous Driving. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 4341–4348. 2 indexed citations

Shi, Weijing, et al.. (2021). Opportunities and Challenges for Flagman Recognition in Autonomous Vehicles. 1470–1477. 1 indexed citations

Shi, Weijing & Ragunathan Rajkumar. (2021). Work Zone Detection For Autonomous Vehicles. 5 indexed citations

Shi, Weijing, Mohamed Baker Alawieh, Xin Li, & Huafeng Yu. (2017). Algorithm and hardware implementation for visual perception system in autonomous vehicle: A survey. Integration. 59. 148–156. 109 indexed citations

Shi, Weijing, et al.. (2016). An FPGA-Based Hardware Accelerator for Traffic Sign Detection. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 25(4). 1362–1372. 18 indexed citations

Shi, Weijing, et al.. (2016). Efficient statistical validation of machine learning systems for autonomous driving. 1–8. 12 indexed citations

Shi, Weijing, et al.. (2015). P‐4: Feasibility Study of a Dual‐gate Photosensitive Thin‐Film Transistor for Fingerprint Sensor Integrated Active‐Matrix Display. SID Symposium Digest of Technical Papers. 46(1). 1131–1134. 3 indexed citations

Shi, Weijing, Jingcheng Wang, Yuanhao Shi, & Guanglei Zhao. (2015). Online prediction of unburned carbon content in fly ash with clustering LS-SVM models. 22. 1947–1952.

10.

Shi, Weijing, et al.. (2015). Clustering LS-SVM models for the prediction of unburned carbon content in fly ash. 26. 19–24. 2 indexed citations

11.

Zhou, Lijun, et al.. (2014). Acceleration of Naive-Bayes algorithm on multicore processor for massive text classification. 55. 344–347. 3 indexed citations

12.

Shi, Weijing, et al.. (2013). An extensible and real-time compressive sensing reconstruction hardware for WBANs using OMP. 144. 1–4. 5 indexed citations

13.

Li, Yi, Xu Cheng, Yicheng Zhang, et al.. (2013). A highly energy-efficient compressed sensing encoder with robust subthreshold clockless pipeline for wireless BANs. 154–157. 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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