Ming Wu

1.2k total citations · 1 hit paper
26 papers, 839 citations indexed

About

Ming Wu is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Ming Wu has authored 26 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 15 papers in Information Systems and 9 papers in Hardware and Architecture. Recurrent topics in Ming Wu's work include Cloud Computing and Resource Management (14 papers), Distributed and Parallel Computing Systems (9 papers) and Parallel Computing and Optimization Techniques (6 papers). Ming Wu is often cited by papers focused on Cloud Computing and Resource Management (14 papers), Distributed and Parallel Computing Systems (9 papers) and Parallel Computing and Optimization Techniques (6 papers). Ming Wu collaborates with scholars based in United States, China and United Kingdom. Ming Wu's co-authors include Xian‐He Sun, Zhengping Qian, Lidong Zhou, Wei Lin, Éric Boutin, Jaliya Ekanayake, Bing Shi, Jingren Zhou, Zhenyu Guo and Jian Tang and has published in prestigious journals such as IEEE Transactions on Computers, Journal of Parallel and Distributed Computing and ACM Transactions on Architecture and Code Optimization.

In The Last Decade

Ming Wu

23 papers receiving 787 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.

Apollo: scalable and coordinated scheduling for cloud-scale computing

2014 214 citations Éric Boutin, Jaliya Ekanayake et al. Operating Systems Design and Implementation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming Wu United States	12	621	412	197	189	121	26	839
Ranjita Bhagwan United States	18	965 1.6×	342 0.8×	165 0.8×	113 0.6×	63 0.5×	40	1.2k
Jan‐Jan Wu Taiwan	16	770 1.2×	472 1.1×	132 0.7×	287 1.5×	91 0.8×	113	996
Zhibin Yu China	15	518 0.8×	437 1.1×	132 0.7×	222 1.2×	75 0.6×	81	732
Joy Arulraj United States	18	1.1k 1.7×	470 1.1×	165 0.8×	478 2.5×	116 1.0×	44	1.2k
Krishna Kavi United States	13	532 0.9×	225 0.5×	112 0.6×	417 2.2×	53 0.4×	96	820
Jitu Padhye United Kingdom	11	843 1.4×	426 1.0×	87 0.4×	107 0.6×	100 0.8×	19	925
Hanjun Kim South Korea	15	437 0.7×	171 0.4×	123 0.6×	315 1.7×	102 0.8×	56	643
Wencong Xiao China	10	314 0.5×	244 0.6×	255 1.3×	176 0.9×	290 2.4×	25	683
Gong Su United States	8	498 0.8×	354 0.9×	193 1.0×	228 1.2×	36 0.3×	26	685
Jianhua Sun China	11	492 0.8×	383 0.9×	153 0.8×	305 1.6×	67 0.6×	79	700

Countries citing papers authored by Ming Wu

Since Specialization

Citations

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

Fields of papers citing papers by Ming Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Wu

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

1.

Rosset, Corby, et al.. (2023). Zero-shot Clarifying Question Generation for Conversational Search. 3288–3298. 10 indexed citations

2.

Mukherjee, Subhabrata, et al.. (2021). Meta Self-training for Few-shot Neural Sequence Labeling. 1737–1747. 41 indexed citations

3.

Wang, Yaqing, et al.. (2021). Adaptive Self-training for Neural Sequence Labeling with Few Labels.

4.

Zhang, Quanlu, et al.. (2018). SDPaxos. 68–81. 16 indexed citations

5.

Chen, Quan, Ming Wu, Yao Shen, et al.. (2018). Bandwidth and Locality Aware Task-stealing for Manycore Architectures with Bandwidth-Asymmetric Memory. ACM Transactions on Architecture and Code Optimization. 15(4). 1–26. 8 indexed citations

6.

Boutin, Éric, Jaliya Ekanayake, Wei Lin, et al.. (2014). Apollo: scalable and coordinated scheduling for cloud-scale computing. Operating Systems Design and Implementation. 285–300. 214 indexed citations breakdown →

7.

Gao, Shen, et al.. (2014). FD-Buffer: A Cost-Based Adaptive Buffer Replacement Algorithm for FlashMemory Devices. IEEE Transactions on Computers. 63(9). 2288–2301. 13 indexed citations

8.

Balakrishnan, Mahesh, Dahlia Malkhi, Ted Wobber, et al.. (2013). Tango. Kent Academic Repository (University of Kent). 325–340. 77 indexed citations

9.

Wu, Ming. (2012). Analysis and a case study of transparent computing implementation with UEFI. International Journal of Cloud Computing. 1(4). 312–312. 10 indexed citations

10.

Li, Yinan, et al.. (2010). FD-buffer. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1297–1300. 9 indexed citations

11.

Wu, Ming, et al.. (2010). IMM-IPDA based maneuvering target tracking with Mobile Robot in unknown clutter environments. 26. 180–184. 2 indexed citations

12.

Guo, Zhenyu, Xi Wang, Jian Tang, et al.. (2008). R2: an application-level kernel for record and replay. Operating Systems Design and Implementation. 193–208. 99 indexed citations

13.

Liu, Xuezheng, Zhenyu Guo, Xi Wang, et al.. (2008). D 3 S: debugging deployed distributed systems. Networked Systems Design and Implementation. 423–437. 86 indexed citations

14.

Sun, Xian‐He & Ming Wu. (2007). Quality of Service of Grid Computing: Resource Sharing. 395–402. 5 indexed citations

15.

Wu, Ming, Xian‐He Sun, & Hui Jin. (2007). Performance under failures of high-end computing. 1–11. 26 indexed citations

16.

Sun, Xian‐He & Ming Wu. (2006). System support of quality of service in shared network environments. 1 indexed citations

17.

Sun, Xian‐He, et al.. (2005). A Neural Network Based Predictive Mechanism for Available Bandwidth. 33a–33a. 38 indexed citations

18.

Wu, Ming & Xian‐He Sun. (2004). Self-adaptive task allocation and scheduling of meta-tasks in non-dedicated heterogeneous computing. International Journal of High Performance Computing and Networking. 2(2/3/4). 186–186. 6 indexed citations

19.

Wu, Ming. (2001). A Neural Network Algorithm for Large Scale Pattern Recognition Problems. 7 indexed citations

20.

Wu, Ming. (1999). Radar target recognition based on evolutionary wavelet networks. 2 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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