Dailun Cheng

831 total citations
2 papers, 180 citations indexed

About

Dailun Cheng is a scholar working on Computer Networks and Communications, Information Systems and Infectious Diseases. According to data from OpenAlex, Dailun Cheng has authored 2 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 2 papers in Information Systems and 0 papers in Infectious Diseases. Recurrent topics in Dailun Cheng's work include Cloud Computing and Resource Management (2 papers), IoT and Edge/Fog Computing (2 papers) and Software System Performance and Reliability (2 papers). Dailun Cheng is often cited by papers focused on Cloud Computing and Resource Management (2 papers), IoT and Edge/Fog Computing (2 papers) and Software System Performance and Reliability (2 papers). Dailun Cheng collaborates with scholars based in United States. Dailun Cheng's co-authors include Yu Gan, Meghna Pancholi, Yuan He, Christina Delimitrou and Yanqi Zhang and has published in prestigious journals such as ACM SIGOPS Operating Systems Review.

In The Last Decade

Dailun Cheng

2 papers receiving 173 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dailun Cheng United States	2	171	125	35	9	7	2	180
Meghna Pancholi United States	3	176 1.0×	126 1.0×	41 1.2×	15 1.7×	7 1.0×	4	194
Daniele Zito Italy	7	98 0.6×	65 0.5×	14 0.4×	11 1.2×	4 0.6×	24	108
Marek Zawirski Spain	3	136 0.8×	56 0.4×	20 0.6×	30 3.3×	4 0.6×	3	144
Manish Sethi India	4	81 0.5×	96 0.8×	32 0.9×	2 0.2×	5 0.7×	6	107
Nicolas Bonvin Switzerland	7	255 1.5×	255 2.0×	20 0.6×	10 1.1×	4 0.6×	11	277
Francesc D. Muñoz‐Escoí Spain	7	151 0.9×	82 0.7×	15 0.4×	27 3.0×	2 0.3×	48	164
Petter Svärd Sweden	8	292 1.7×	285 2.3×	17 0.5×	26 2.9×	2 0.3×	12	308
Benoît Hudzia United Kingdom	6	299 1.7×	274 2.2×	14 0.4×	29 3.2×	2 0.3×	11	310
Silvia Lizeth Tapia Tarifa Norway	5	45 0.3×	33 0.3×	34 1.0×	20 2.2×	7 1.0×	18	77
Michel Riguidel France	7	102 0.6×	46 0.4×	15 0.4×	6 0.7×	8 1.1×	26	128

Countries citing papers authored by Dailun Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Dailun Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dailun Cheng

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

All Works

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2 of 2 papers shown

1.

Gan, Yu, Yanqi Zhang, Dailun Cheng, et al.. (2019). Seer. 19–33. 174 indexed citations

2.

Gan, Yu, Yanqi Zhang, Dailun Cheng, et al.. (2019). Leveraging Deep Learning to Improve Performance Predictability in Cloud Microservices with Seer. ACM SIGOPS Operating Systems Review. 53(1). 34–39. 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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