Jinwei Xu

467 total citations
30 papers, 298 citations indexed

About

Jinwei Xu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Jinwei Xu has authored 30 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 8 papers in Artificial Intelligence. Recurrent topics in Jinwei Xu's work include Advanced Neural Network Applications (9 papers), Biometric Identification and Security (4 papers) and Speech Recognition and Synthesis (4 papers). Jinwei Xu is often cited by papers focused on Advanced Neural Network Applications (9 papers), Biometric Identification and Security (4 papers) and Speech Recognition and Synthesis (4 papers). Jinwei Xu collaborates with scholars based in China, Australia and Switzerland. Jinwei Xu's co-authors include Yong Dou, Jingfei Jiang, Shijie Li, Zhi-Qiang Liu, Yongmei Zhou, Zhiqiang Liu, Zhiqiang Liu, Paul Chow, Jie Zhou and Jiankun Hu and has published in prestigious journals such as Scientific Reports, IEEE Access and Computer Methods and Programs in Biomedicine.

In The Last Decade

Jinwei Xu

27 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jinwei Xu China	9	180	130	95	35	33	30	298
Shijie Li China	10	140 0.8×	87 0.7×	101 1.1×	17 0.5×	14 0.4×	24	250
Qing Jin United States	9	158 0.9×	151 1.2×	115 1.2×	32 0.9×	12 0.4×	14	336
Bingyi Zhang United States	10	153 0.8×	102 0.8×	159 1.7×	31 0.9×	7 0.2×	31	287
Xitian Fan China	9	238 1.3×	208 1.6×	90 0.9×	70 2.0×	10 0.3×	13	375
Weinan Song United States	4	206 1.1×	188 1.4×	131 1.4×	62 1.8×	8 0.2×	8	354
Beatrice Bussolino Italy	5	96 0.5×	129 1.0×	96 1.0×	39 1.1×	8 0.2×	6	270
Zhenglun Kong United States	9	103 0.6×	89 0.7×	76 0.8×	22 0.6×	5 0.2×	32	250
Peter Jin United States	4	221 1.2×	43 0.3×	130 1.4×	10 0.3×	23 0.7×	6	296
Jiazhen Lin China	6	191 1.1×	56 0.4×	179 1.9×	11 0.3×	9 0.3×	14	317

Countries citing papers authored by Jinwei Xu

Since Specialization

Citations

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

Fields of papers citing papers by Jinwei Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinwei Xu

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

All Works

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20 of 20 papers shown

Zhang, He, Jinwei Xu, Jun Lyu, et al.. (2024). A preliminary investigation on using multi-task learning to predict change performance in code reviews. Empirical Software Engineering. 29(6).

Jiang, Jingfei, et al.. (2024). Efficient SpMM Accelerator for Deep Learning: Sparkle and Its Automated Generator. ACM Transactions on Reconfigurable Technology and Systems. 17(3). 1–30.

Zhou, Xin, et al.. (2024). DLAP: A Deep Learning Augmented Large Language Model Prompting framework for software vulnerability detection. Journal of Systems and Software. 219. 112234–112234. 9 indexed citations

Xu, Jinwei, et al.. (2024). Prioritizing code review requests to improve review efficiency: a simulation study. Empirical Software Engineering. 30(1).

Jiang, Jingfei, et al.. (2022). A low-latency LSTM accelerator using balanced sparsity based on FPGA. Microprocessors and Microsystems. 89. 104417–104417. 8 indexed citations

Li, Shijie, et al.. (2022). Isolate sets partition benefits community detection of parallel Louvain method. Scientific Reports. 12(1). 8248–8248. 7 indexed citations

Liu, Xiaohang, Jingfei Jiang, Jinwei Xu, & Lei Gao. (2022). Evaluating a New Attention Framework Based on Matrix Blocking for Attention Models on FPGAs. 607–615. 2 indexed citations

Jiang, Jingfei, et al.. (2021). A high-throughput scalable BNN accelerator with fully pipelined architecture. 3(1). 17–30. 4 indexed citations

Jiang, Jingfei, et al.. (2021). An energy-efficient convolutional neural network accelerator for speech classification based on FPGA and quantization. 3(1). 4–16. 1 indexed citations

10.

Jiang, Jingfei, et al.. (2020). Accelerating Event Detection with DGCNN and FPGAs. Electronics. 9(10). 1666–1666. 5 indexed citations

11.

Li, Shijie, Yong Dou, Jinwei Xu, Ke Yang, & Rongchun Li. (2019). GBCNN: A Full GPU-Based Batch Multi-Task Cascaded Convolutional Networks. IEEE Access. 7. 20225–20234. 2 indexed citations

12.

Xu, Jinwei, Shijie Li, Jingfei Jiang, & Yong Dou. (2019). A Simplified Speaker Recognition System Based on FPGA Platform. IEEE Access. 8. 1507–1516. 12 indexed citations

13.

Xu, Jinwei, Zhi-Qiang Liu, Jingfei Jiang, Yong Dou, & Shijie Li. (2018). CaFPGA: An automatic generation model for CNN accelerator. Microprocessors and Microsystems. 60. 196–206. 20 indexed citations

14.

Xu, Jinwei, Jiankun Hu, & Xiuping Jia. (2018). A target image–oriented dictionary learning–based method for fully automated latent fingerprint forensic. Computational Intelligence. 34(4). 1178–1198. 2 indexed citations

15.

Li, Shijie, Yong Dou, Jinwei Xu, Qiang Wang, & Xin Niu. (2018). mmCNN: A Novel Method for Large Convolutional Neural Network on Memory-Limited Devices. 12. 881–886. 3 indexed citations

16.

Liu, Zhi-Qiang, Yong Dou, Jingfei Jiang, et al.. (2017). Throughput-Optimized FPGA Accelerator for Deep Convolutional Neural Networks. ACM Transactions on Reconfigurable Technology and Systems. 10(3). 1–23. 80 indexed citations

17.

Xu, Jinwei, Zhiqiang Liu, Jingfei Jiang, & Yong Dou. (2017). High performance robust audio event recognition system based on FPGA platform. Cognitive Systems Research. 50. 196–205. 4 indexed citations

18.

Liu, Zhiqiang, Yong Dou, Jingfei Jiang, & Jinwei Xu. (2016). Automatic code generation of convolutional neural networks in FPGA implementation. 61–68. 34 indexed citations

19.

Xu, Jinwei, et al.. (2015). Coarse-Grained Architecture for Fingerprint Matching. ACM Transactions on Reconfigurable Technology and Systems. 9(2). 1–15. 2 indexed citations

20.

Pham, Tuan D., et al.. (2013). Personalized identification of abdominal wall hernia meshes on computed tomography. Computer Methods and Programs in Biomedicine. 113(1). 153–161. 12 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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