Tianwei Xing

749 total citations
15 papers, 503 citations indexed

About

Tianwei Xing is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Tianwei Xing has authored 15 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Tianwei Xing's work include Anomaly Detection Techniques and Applications (4 papers), Time Series Analysis and Forecasting (3 papers) and Human Pose and Action Recognition (3 papers). Tianwei Xing is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Time Series Analysis and Forecasting (3 papers) and Human Pose and Action Recognition (3 papers). Tianwei Xing collaborates with scholars based in United States, United Kingdom and Italy. Tianwei Xing's co-authors include Mani Srivastava, Zhiru Zhang, Jeng-Hau Lin, Rajesh K. Gupta, Ritchie Zhao, Wentao Zhang, Weinan Song, Jie Xu, Mihaela van der Schaar and Alun Preece and has published in prestigious journals such as IEEE Transactions on Signal Processing, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Tianwei Xing

15 papers receiving 491 citations

Peers

Tianwei Xing

CVPR

AI

EEE

HA

CNC

Huanrui Yang United States

Shiqi Jiang China

Xue Lin China

Ting Cao China

Zheng Gong China

Alsharif Abuadbba Australia

Sai Qian Zhang United States

Saketh Rama United States

Junbo Zhao China

Jiashen Cao United States

Huanrui Yang United States

Tianwei Xing

232 ×0.9

CVPR

277 ×1.2

AI

252 ×1.3

EEE

49 ×0.8

HA

54 ×0.9

CNC

Citations per year, relative to Tianwei Xing Tianwei Xing (= 1×) peers Huanrui Yang

Countries citing papers authored by Tianwei Xing

Since Specialization

Citations

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

Fields of papers citing papers by Tianwei Xing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianwei Xing

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

All Works

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15 of 15 papers shown

1.

Xing, Tianwei, et al.. (2024). Learning to Compress Prompt in Natural Language Formats. 7756–7767. 1 indexed citations

2.

Bao, Yajie, et al.. (2023). Confidence-based interactable neural-symbolic visual question answering. Neurocomputing. 564. 126991–126991. 10 indexed citations

3.

Xing, Tianwei, Luis Antonio Ribot García, Mani Srivastava, et al.. (2022). DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings. Expert Systems with Applications. 215. 119376–119376. 13 indexed citations

4.

Xing, Tianwei, Luis Antonio Ribot García, Federico Cerutti, et al.. (2021). DeepSQA. Institutional Research Information System (Università degli Studi di Brescia). 106–118. 3 indexed citations

5.

Preece, Alun, Dave Braines, Federico Cerutti, et al.. (2021). Coalition situational understanding via explainable neuro-symbolic reasoning and learning. 61–61. 2 indexed citations

6.

Xing, Tianwei, Luis Antonio Ribot García, Federico Cerutti, et al.. (2020). Neuroplex. Institutional Research Information System (Università degli Studi di Brescia). 489–502. 15 indexed citations

7.

Xing, Tianwei, Luis Antonio Ribot García, Federico Cerutti, et al.. (2019). DeepCEP: Deep Complex Event Processing Using Distributed Multimodal Information. Institutional Research Information System (Università degli Studi di Brescia). 87–92. 15 indexed citations

8.

Xing, Tianwei, Sandeep Singh Sandha, Bharathan Balaji, Supriyo Chakraborty, & Mani Srivastava. (2018). Enabling Edge Devices that Learn from Each Other. 37–42. 25 indexed citations

9.

Cerutti, Federico, Moustafa Alzantot, Tianwei Xing, et al.. (2018). Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis. ORCA Online Research @Cardiff (Cardiff University). 1–8. 3 indexed citations

10.

Tomsett, Richard, Tianwei Xing, Supriyo Chakraborty, et al.. (2018). Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning. 838–845. 12 indexed citations

11.

Zhao, Ritchie, Weinan Song, Wentao Zhang, et al.. (2017). Accelerating Binarized Convolutional Neural Networks with Software-Programmable FPGAs. 15–24. 303 indexed citations

12.

Lin, Jeng-Hau, Tianwei Xing, Ritchie Zhao, et al.. (2017). Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration. 344–352. 17 indexed citations

13.

Chakraborty, Supriyo, Alun Preece, Moustafa Alzantot, et al.. (2017). Deep learning for situational understanding. ORCA Online Research @Cardiff (Cardiff University). 1–8. 13 indexed citations

14.

Xu, Jie, Tianwei Xing, & Mihaela van der Schaar. (2016). Personalized Course Sequence Recommendations. IEEE Transactions on Signal Processing. 64(20). 5340–5352. 66 indexed citations

15.

Xing, Tianwei, Yao Yu, Yu Zhou, & Sidan Du. (2012). Markerless Motion Capture of Human Body Using PSO with Single Depth Camera. 2. 192–197. 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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