Peixi Liu

3.0k total citations · 5 hit papers
31 papers, 2.0k citations indexed

About

Peixi Liu is a scholar working on Oncology, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Peixi Liu has authored 31 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 12 papers in Electrical and Electronic Engineering and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Peixi Liu's work include Colorectal Cancer Screening and Detection (10 papers), Indoor and Outdoor Localization Technologies (7 papers) and Gastric Cancer Management and Outcomes (6 papers). Peixi Liu is often cited by papers focused on Colorectal Cancer Screening and Detection (10 papers), Indoor and Outdoor Localization Technologies (7 papers) and Gastric Cancer Management and Outcomes (6 papers). Peixi Liu collaborates with scholars based in China, United States and Hong Kong. Peixi Liu's co-authors include Pu Wang, Xiaogang Liu, Liangping Li, Tyler M. Berzin, Jeremy R. Glissen Brown, Yan Song, Xun Xiao, Guangxu Zhu, Mengtian Tu and Di Zhang and has published in prestigious journals such as Gastroenterology, PLoS ONE and Gut.

In The Last Decade

Peixi Liu

30 papers receiving 1.9k citations

Hit Papers

align trajectories sort by overperformance

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.

Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study

2019 546 citations Pu Wang, Tyler M. Berzin et al. Gut profile →
Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy

2018 318 citations Pu Wang, Xiao Xiao et al. Nature Biomedical Engineering profile →
Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study

2020 283 citations Pu Wang, Xiaogang Liu et al. profile →
Pushing AI to wireless network edge: an overview on integrated sensing, communication, and computation towards 6G

2023 144 citations Guangxu Zhu, Zhonghao Lyu et al. Science China Information Sciences profile →
Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI

2023 124 citations Dingzhu Wen, Peixi Liu et al. IEEE Transactions on Wireless Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peixi Liu China	16	1.1k	736	634	570	271	31	2.0k
S. M. Reza Soroushmehr United States	20	392 0.4×	463 0.6×	97 0.2×	505 0.9×	27 0.1×	95	1.8k
Jayasree Chakraborty United States	20	544 0.5×	911 1.2×	268 0.4×	508 0.9×	24 0.1×	86	1.5k
Konstantin Pogorelov Norway	18	508 0.5×	435 0.6×	154 0.2×	544 1.0×	17 0.1×	53	1.4k
Ashish Sharma United States	25	165 0.2×	711 1.0×	392 0.6×	1.1k 1.9×	34 0.1×	81	2.6k
Fons van der Sommen Netherlands	19	633 0.6×	534 0.7×	859 1.4×	220 0.4×	12 0.0×	130	1.6k
Ravi K. Samala United States	23	271 0.3×	1.6k 2.1×	600 0.9×	1.4k 2.4×	20 0.1×	80	2.6k
Farzad Khalvati Canada	24	392 0.4×	1.4k 1.9×	782 1.2×	482 0.8×	19 0.1×	88	2.0k
Adrien Depeursinge Switzerland	26	159 0.1×	1.3k 1.7×	531 0.8×	856 1.5×	21 0.1×	117	2.3k
Wei Fan China	23	263 0.2×	687 0.9×	378 0.6×	130 0.2×	33 0.1×	159	1.7k
Debesh Jha United States	15	530 0.5×	623 0.8×	145 0.2×	637 1.1×	10 0.0×	57	1.6k

Countries citing papers authored by Peixi Liu

Since Specialization

Citations

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

Fields of papers citing papers by Peixi Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peixi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Peixi Liu. A scholar is included among the top collaborators of Peixi Liu 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 Peixi Liu. Peixi Liu 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:

20 of 20 papers shown

Zhu, Guangxu, Zhonghao Lyu, Peixi Liu, et al.. (2023). Pushing AI to wireless network edge: an overview on integrated sensing, communication, and computation towards 6G. Science China Information Sciences. 66(3). 144 indexed citations breakdown →

Liu, Weihui, et al.. (2023). Initial experience of visualized biliary cannulation during ERCP. Endoscopy. 55(11). 1037–1042. 6 indexed citations

Wen, Dingzhu, et al.. (2023). Task-Oriented Over-the-Air Computation for Multi-Device Edge Split Inference. 1–6. 3 indexed citations

Wen, Dingzhu, Peixi Liu, Guangxu Zhu, et al.. (2023). Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI. 3608–3613. 16 indexed citations

Wen, Dingzhu, Peixi Liu, Guangxu Zhu, et al.. (2023). Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI. IEEE Transactions on Wireless Communications. 23(3). 2486–2502. 124 indexed citations breakdown →

Wen, Dingzhu, et al.. (2023). Task-Oriented Over-the-Air Computation for Multi-Device Edge AI. IEEE Transactions on Wireless Communications. 23(3). 2039–2053. 40 indexed citations

Liu, Peixi, Guangxu Zhu, Wei Jiang, et al.. (2022). Vertical Federated Edge Learning With Distributed Integrated Sensing and Communication. IEEE Communications Letters. 26(9). 2091–2095. 42 indexed citations

Wang, Pu, Xiaogang Liu, Peng Xue, et al.. (2022). Artificial intelligence empowers the second-observer strategy for colonoscopy: a randomized clinical trial. Gastroenterology report. 11. goac081–goac081. 17 indexed citations

Liu, Peixi, Guangxu Zhu, Shuai Wang, et al.. (2022). Toward Ambient Intelligence: Federated Edge Learning With Task-Oriented Sensing, Computation, and Communication Integration. IEEE Journal of Selected Topics in Signal Processing. 17(1). 158–172. 59 indexed citations

10.

Liu, Peixi, Jiamo Jiang, Guangxu Zhu, et al.. (2022). Training time minimization for federated edge learning with optimized gradient quantization and bandwidth allocation. Frontiers of Information Technology & Electronic Engineering. 23(8). 1247–1263. 26 indexed citations

11.

Deng, Zihao, et al.. (2022). Convolutional Neural Networks Based Study for Multi-class Skin Cancer Plaque Images Classification. 25. 425–430.

12.

Liu, Peixi, Pu Wang, Jeremy R. Glissen Brown, et al.. (2020). The single-monitor trial: an embedded CADe system increased adenoma detection during colonoscopy: a prospective randomized study. Therapeutic Advances in Gastroenterology. 13. 3974168029–3974168029. 56 indexed citations

13.

Zhou, Guanyu, Xun Xiao, Mengtian Tu, et al.. (2020). Computer aided detection for laterally spreading tumors and sessile serrated adenomas during colonoscopy. PLoS ONE. 15(4). e0231880–e0231880. 24 indexed citations

14.

Wang, Pu, Peixi Liu, Jeremy R. Glissen Brown, et al.. (2020). Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study. Gastroenterology. 159(4). 1252–1261.e5. 150 indexed citations

15.

Wang, Pu, Tyler M. Berzin, Jeremy R. Glissen Brown, et al.. (2019). Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study. Gut. 68(10). 1813–1819. 546 indexed citations breakdown →

16.

Wang, Han, Pu Wang, Xiaogang Liu, et al.. (2019). Factors predicting the colorectal adenoma detection rate in colonoscopic screening of a Chinese population. Medicine. 98(15). e15103–e15103. 18 indexed citations

17.

Wang, Pu, Xiao Xiao, Jeremy R. Glissen Brown, et al.. (2018). Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy. Nature Biomedical Engineering. 2(10). 741–748. 318 indexed citations breakdown →

18.

Wang, Zixiong, Peixi Liu, Jian Chen, et al.. (2017). Accuracy analysis and improvement of visible light positioning based on VLC system using orthogonal frequency division multiple access. Optics Express. 25(26). 32618–32618. 46 indexed citations

19.

Zhou, Yingjie, Peixi Liu, Rui Jing, Xin Zhao, & Jie Lao. (2017). The Associated Factors and Clinical Features of Neuropathic Pain After Brachial Plexus Injuries. Clinical Journal of Pain. 33(11). 1030–1036. 14 indexed citations

20.

Fu, Qiang, et al.. (2016). Lipoxygenase-inhibiting lignans from Clematis mandshurica. Journal of Asian Natural Products Research. 19(9). 884–889. 6 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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