Chengxu Liu

4.5k total citations · 1 hit paper
54 papers, 2.8k citations indexed

About

Chengxu Liu is a scholar working on Molecular Biology, Clinical Biochemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chengxu Liu has authored 54 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Clinical Biochemistry and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chengxu Liu's work include Bacterial Identification and Susceptibility Testing (16 papers), Genomics and Phylogenetic Studies (15 papers) and Oral microbiology and periodontitis research (10 papers). Chengxu Liu is often cited by papers focused on Bacterial Identification and Susceptibility Testing (16 papers), Genomics and Phylogenetic Studies (15 papers) and Oral microbiology and periodontitis research (10 papers). Chengxu Liu collaborates with scholars based in United States, China and United Kingdom. Chengxu Liu's co-authors include Sydney M. Finegold, Yuli Song, Denise Molitoris, Paula Summanen, Marja–Liisa Väisänen, Dennis R. Dixon, John A. Green, Scot E. Dowd, Eunseog Youn and Minghsun Liu and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Clinical Microbiology and IEEE Transactions on Image Processing.

In The Last Decade

Chengxu Liu

49 papers receiving 2.7k citations

Hit Papers

Pyrosequencing study of f... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengxu Liu United States 26 1.5k 563 365 352 325 54 2.8k
Paula Summanen United States 30 1.5k 1.0× 623 1.1× 320 0.9× 293 0.8× 387 1.2× 65 3.5k
Ruth Ann Luna United States 32 2.1k 1.4× 603 1.1× 334 0.9× 235 0.7× 108 0.3× 76 3.7k
Yuli Song United States 26 1.2k 0.8× 455 0.8× 135 0.4× 134 0.4× 302 0.9× 54 2.4k
Denise Molitoris United States 14 876 0.6× 316 0.6× 242 0.7× 226 0.6× 113 0.3× 20 1.5k
Marja–Liisa Väisänen United States 18 570 0.4× 335 0.6× 187 0.5× 205 0.6× 135 0.4× 25 1.3k
Gil Sharon Israel 20 3.4k 2.4× 525 0.9× 380 1.0× 403 1.1× 34 0.1× 36 5.7k
Julia Downes United Kingdom 25 958 0.7× 268 0.5× 84 0.2× 74 0.2× 267 0.8× 40 2.2k
Minghsun Liu United States 15 1.1k 0.7× 273 0.5× 236 0.6× 218 0.6× 31 0.1× 17 2.2k
Brent L. Williams United States 18 1.0k 0.7× 530 0.9× 438 1.2× 246 0.7× 21 0.1× 21 2.5k
José M. Saavedra United States 28 945 0.6× 466 0.8× 383 1.0× 121 0.3× 29 0.1× 97 4.0k

Countries citing papers authored by Chengxu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chengxu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengxu Liu

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

All Works

20 of 20 papers shown
2.
Liu, Chengxu, et al.. (2025). Single-Domain Generalized Object Detection With Frequency Whitening and Contrastive Learning. IEEE Transactions on Multimedia. 27. 6805–6818.
3.
Liu, Chengxu, et al.. (2024). Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3558–3566. 2 indexed citations
4.
Liu, Chengxu, et al.. (2024). Towards Better Distortion Feature Learning for Object Detection in Top-View Fisheye Cameras. IEEE Transactions on Multimedia. 28. 2106–2118.
5.
Lai, Shenqi, et al.. (2024). HF-HRNet: A Simple Hardware Friendly High-Resolution Network. IEEE Transactions on Circuits and Systems for Video Technology. 34(8). 7699–7711. 14 indexed citations
6.
Liu, Chengxu, et al.. (2023). Anomaly detection framework for unmanned vending machines. Knowledge-Based Systems. 262. 110251–110251. 5 indexed citations
7.
Liang, Lin, Chengxu Liu, & Junjing Wang. (2023). Periodicity measure of cyclo-stationary impulses based on low sparsity of Gini index and its application to bearing diagnosis. ISA Transactions. 138. 611–627. 20 indexed citations
8.
Liu, Chengxu, Huan Yang, Jianlong Fu, & Xueming Qian. (2023). 4D LUT: Learnable Context-Aware 4D Lookup Table for Image Enhancement. IEEE Transactions on Image Processing. 32. 4742–4756. 12 indexed citations
9.
Liu, Chengxu, Yaru Zhang, Yao Xue, & Xueming Qian. (2023). AJENet: Adaptive Joints Enhancement Network for Abnormal Behavior Detection in Office Scenario. IEEE Transactions on Circuits and Systems for Video Technology. 34(3). 1427–1440. 5 indexed citations
10.
Liu, Chengxu, et al.. (2023). Split-Check: Boosting Product Recognition via Instance-Level Retrieval. IEEE Transactions on Industrial Informatics. 20(3). 3521–3529.
11.
Senhorinho, Gerusa N.A., Viviane Nakano, Chengxu Liu, et al.. (2012). Occurrence and antimicrobial susceptibility of Porphyromonas spp. and Fusobacterium spp. in dogs with and without periodontitis. Anaerobe. 18(4). 381–385. 36 indexed citations
12.
Tong, Jia, Chengxu Liu, Paula Summanen, Huaxi Xu, & Sydney M. Finegold. (2011). Application of quantitative real-time PCR for rapid identification of Bacteroides fragilis group and related organisms in human wound samples. Anaerobe. 17(2). 64–68. 68 indexed citations
13.
Kim, Keun‐Sung, Marie‐Claire Rowlinson, Robert S. Bennion, et al.. (2010). Characterization of Slackia exigua Isolated from Human Wound Infections, Including Abscesses of Intestinal Origin. Journal of Clinical Microbiology. 48(4). 1070–1075. 35 indexed citations
14.
Song, Yuli, Eija Könönen, Merja Rautio, et al.. (2006). Alistipes onderdonkii sp. nov. and Alistipes shahii sp. nov., of human origin. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 56(8). 1985–1990. 97 indexed citations
15.
Song, Yuli, Chengxu Liu, & Sydney M. Finegold. (2006). Development of a Flow Chart for Identification of Gram-Positive Anaerobic Cocci in the Clinical Laboratory. Journal of Clinical Microbiology. 45(2). 512–516. 20 indexed citations
16.
Liu, Chengxu, et al.. (2005). Multiplex PCR for rapid differentiation of three species in the âClostridium clostridioformegroupâ. FEMS Microbiology Letters. 244(2). 391–395. 8 indexed citations
17.
Liu, Chengxu, et al.. (2003). Rapid identification of the species of theBacteroides fragilisgroup by multiplex PCR assays using group- and species-specific primers. FEMS Microbiology Letters. 222(1). 9–16. 88 indexed citations
18.
Song, Yuli, Chengxu Liu, Denise Molitoris, et al.. (2003). Clostridium bolteae sp. nov., Isolated from Human Sources. Systematic and Applied Microbiology. 26(1). 84–89. 64 indexed citations
19.
Finegold, Sydney M., Paul A. Lawson, Marja–Liisa Väisänen, et al.. (2003). Anaerofustis stercorihominis gen. nov., sp. nov., from human feces. Anaerobe. 10(1). 41–45. 28 indexed citations
20.
Song, Yuli, et al.. (2002). Use of 16S–23S rRNA Spacer-Region (SR)-PCR for Identification of Intestinal Clostridia. Systematic and Applied Microbiology. 25(4). 528–535. 17 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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