Xiaoshe Dong

857 citations
135 papers · 524 indexed · h-index 10
Topics
Cloud Computing and Resource Management (44 papers)Distributed and Parallel Computing Systems (38 papers)Parallel Computing and Optimization Techniques (32 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
Partner nations
ChinaSwedenUnited States

In The Last Decade

Xiaoshe Dong

117 papers receiving 487 citations

Peers

Xiaoshe Dong
Comparison fields: 5 of 56
  • Computer Networks and Communications 344
  • Information Systems 285
  • Artificial Intelligence 121
  • Hardware and Architecture 95
  • Electrical and Electronic Engineering 54
Replace Alexandre Muzio with:
Alexandre Muzio Brazil
Runyuan Sun China
Joe Sventek United Kingdom
G.-S. Poo Singapore
Joon‐Myung Kang South Korea
Hyuck Han South Korea
Zhibin Yu China
Gabriele Mencagli Italy
Gong Su United States
Teck Chaw Ling Malaysia
Xiaoshe Dong relative to Alexandre Muzio Brazil Alexandre Muzio's profile →
Citations per field
00.5×10×15×20×
Alexandre Muzio · 1×
Citations per year

Countries citing papers authored by Xiaoshe Dong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoshe Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoshe Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoshe Dong. A scholar is included among the top collaborators of Xiaoshe Dong 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 Xiaoshe Dong. Xiaoshe Dong 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
#WorkIndexed citations
1 0
2 0
3 4
4 2
5 6
6 10
7 3
8 3
9 1
10 0
11 6
12 2
13
Evaluating Packet-level Forward Error Correction: 1-D interleaved parity codes
2
14 5
15
Security architecture of mobile P2PSIP based live streaming system
1
16 2
17 5
18 1
19
A perfect load balancing algorithm on cube-connected cycles
0
20 2

About Xiaoshe Dong

Xiaoshe Dong is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 135 papers that have together received 524 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (44 papers), Distributed and Parallel Computing Systems (38 papers) and Parallel Computing and Optimization Techniques (32 papers). The work is most often cited by research in Computer Networks and Communications (344 citations), Hardware and Architecture (95 citations) and Information Systems (285 citations). Xiaoshe Dong has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Xingjun Zhang, Yiduo Mei, Ling Liu, Weiguo Wu, Sankaran Sivathanu, Xing Pu, Yinfeng Wang, Yufei Wang, Siyuan Ma and Yufei Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

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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