Chengyong Wu

3.4k total citations · 2 hit papers
52 papers, 2.5k citations indexed

About

Chengyong Wu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Chengyong Wu has authored 52 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Hardware and Architecture, 19 papers in Computer Networks and Communications and 14 papers in Information Systems. Recurrent topics in Chengyong Wu's work include Parallel Computing and Optimization Techniques (28 papers), Advanced Data Storage Technologies (12 papers) and Cloud Computing and Resource Management (11 papers). Chengyong Wu is often cited by papers focused on Parallel Computing and Optimization Techniques (28 papers), Advanced Data Storage Technologies (12 papers) and Cloud Computing and Resource Management (11 papers). Chengyong Wu collaborates with scholars based in China, France and Belgium. Chengyong Wu's co-authors include Olivier Temam, Yunji Chen, Zidong Du, Tianshi Chen, Ninghui Sun, Jia Wang, Ninghui Sun, Lei Liu, Yungang Bao and Mingyu Chen and has published in prestigious journals such as Nature Communications, Sustainability and European Journal of Medicinal Chemistry.

In The Last Decade

Chengyong Wu

51 papers receiving 2.4k citations

Hit Papers

align trajectories

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.

DianNao

2014 944 citations Tianshi Chen, Zidong Du et al. profile →
A paper-based assay for the colorimetric detection of SARS-CoV-2 variants at single-nucleotide resolution

2022 152 citations Ting Zhang, Ruijie Deng et al. Nature Biomedical Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chengyong Wu China	18	1.1k	924	765	602	535	52	2.5k
Yunsup Lee United States	21	659 0.6×	243 0.3×	1.3k 1.7×	351 0.6×	793 1.5×	36	2.1k
Yibo Lin China	28	1.7k 1.5×	305 0.3×	1.1k 1.5×	309 0.5×	345 0.6×	237	2.9k
Tarek El‐Ghazawi United States	21	430 0.4×	180 0.2×	696 0.9×	351 0.6×	707 1.3×	154	1.5k
Daehyun Kim United States	17	451 0.4×	269 0.3×	763 1.0×	335 0.6×	770 1.4×	57	1.6k
Darren J. Kerbyson United States	26	369 0.3×	352 0.4×	1.3k 1.7×	186 0.3×	1.7k 3.2×	117	2.6k
Volodymyr Kindratenko United States	18	204 0.2×	253 0.3×	432 0.6×	180 0.3×	391 0.7×	81	1.2k
Tal Ben‐Nun Switzerland	18	142 0.1×	353 0.4×	295 0.4×	406 0.7×	353 0.7×	43	1.3k
Lin Gan China	20	164 0.1×	263 0.3×	300 0.4×	264 0.4×	310 0.6×	101	1.4k
Carl Ebeling United States	24	1.3k 1.1×	87 0.1×	1.5k 2.0×	316 0.5×	954 1.8×	82	2.6k
Guochun Shi United States	9	142 0.1×	183 0.2×	584 0.8×	187 0.3×	567 1.1×	22	1.2k

Countries citing papers authored by Chengyong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chengyong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengyong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chengyong Wu. A scholar is included among the top collaborators of Chengyong Wu 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 Chengyong Wu. Chengyong Wu 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

Wu, Chengyong, et al.. (2024). Discovery and mechanistic insights into thieno[3,2-d]pyrimidine and heterocyclic fused pyrimidines inhibitors targeting tubulin for cancer therapy. European Journal of Medicinal Chemistry. 276. 116649–116649. 5 indexed citations

Huang, Chung-Fu, An‐Chi Huang, Wei‐Ting Chen, Chengyong Wu, & Terng‐Jou Wan. (2024). Utilizing magnetic nanoparticles embedded into polyvinyl alcohol and sodium alginate for the absorption of arsenic. Journal of Loss Prevention in the Process Industries. 90. 105348–105348. 6 indexed citations

Wu, Yuyang, et al.. (2023). Long noncoding RNAs with peptide‐encoding potential identified in esophageal squamous cell carcinoma: KDM4A‐AS1‐encoded peptide weakens cancer cell viability and migratory capacity. Molecular Oncology. 17(7). 1419–1436. 20 indexed citations

Li, Xiangying, et al.. (2022). Export of Dissolved Organic Carbon from the Source Region of Yangtze River in the Tibetan Plateau. Sustainability. 14(4). 2441–2441. 6 indexed citations

Li, Yueshan, Yifei Wang, Jun Zou, et al.. (2022). Generative deep learning enables the discovery of a potent and selective RIPK1 inhibitor. Nature Communications. 13(1). 6891–6891. 55 indexed citations

Wu, Chengyong, Kelong Chen, Baokang Liu, et al.. (2022). Improved CASA model based on satellite remote sensing data: simulating net primary productivity of Qinghai Lake basin alpine grassland. Geoscientific model development. 15(17). 6919–6933. 50 indexed citations

Zhang, Ting, Ruijie Deng, Yuxi Wang, et al.. (2022). A paper-based assay for the colorimetric detection of SARS-CoV-2 variants at single-nucleotide resolution. Nature Biomedical Engineering. 6(8). 957–967. 152 indexed citations breakdown →

Zhang, Jing, et al.. (2020). An alpine meadow soil chronology based on OSL and radiocarbon dating, Qinghai Lake, northeastern Tibetan Plateau. Quaternary International. 562. 35–45. 13 indexed citations

Wu, Chengyong, et al.. (2018). Evaluation of the Township Proper Carrying Capacity over Qinghai-Tibet plateau by CASA model. IOP Conference Series Earth and Environmental Science. 108. 42079–42079. 1 indexed citations

10.

Du, Zidong, Ying Wang, Huawei Li, et al.. (2015). Retraining-based timing error mitigation for hardware neural networks. Design, Automation, and Test in Europe. 593–596. 13 indexed citations

11.

Liu, Lei, Yong Li, Chen Ding, Hao Yang, & Chengyong Wu. (2015). Rethinking Memory Management in Modern Operating System: Horizontal, Vertical or Random?. IEEE Transactions on Computers. 65(6). 1921–1935. 20 indexed citations

12.

Chen, Tianshi, Zidong Du, Ninghui Sun, et al.. (2014). DianNao. ACM SIGARCH Computer Architecture News. 42(1). 269–284. 213 indexed citations

13.

Liu, Lei, Yong Li, Zehan Cui, et al.. (2014). Going vertical in memory management: Handling multiplicity by multi-policy. 169–180. 5 indexed citations

14.

Du, Zidong, Avinash Lingamneni, Yunji Chen, et al.. (2014). Leveraging the error resilience of machine-learning applications for designing highly energy efficient accelerators. 201–206. 94 indexed citations

15.

Liu, Lei, Zehan Cui, Yong Li, et al.. (2014). BPM/BPM+. ACM Transactions on Architecture and Code Optimization. 11(1). 1–28. 14 indexed citations

16.

Yang, Chen, Lieven Eeckhout, Grigori Fursin, et al.. (2010). Evaluating iterative optimization across 1000 datasets. ACM SIGPLAN Notices. 45(6). 448–459. 1 indexed citations

17.

Liang, Peng, et al.. (2010). Transforming GCC into a research-friendly environment: plugins for optimization tuning and reordering, function cloning and program instrumentation. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations

18.

Yang, Chen, Lieven Eeckhout, Grigori Fursin, et al.. (2010). Evaluating iterative optimization across 1000 datasets. 448–459. 49 indexed citations

19.

Liu, Tao, et al.. (2008). Dataflow-Style Java Parallel Programming Model and Runtime Optimization. Journal of Software. 19(9). 2181–2190. 1 indexed citations

20.

Chen, Dong-Yuan, Lixia Liu, Chen Fu, et al.. (2003). Efficient resource management during instruction scheduling for the EPIC architectures. International Conference on Parallel Architectures and Compilation Techniques. 36–45. 3 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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