Li Da Xu
- Computer Networks and Communications top 2%
- Information Systems top 1%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Industrial and Manufacturing Engineering top 2%
- Topics
- IoT and Edge/Fog Computing (7 papers)Cloud Computing and Resource Management (4 papers)Advanced Software Engineering Methodologies (2 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on Industrial InformaticsFuture Generation Computer SystemsInternet Research
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Li Da Xu
11 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Computer Networks and Communications 799
- Information Systems 470
- Electrical and Electronic Engineering 250
- Computer Vision and Pattern Recognition 201
- Industrial and Manufacturing Engineering 194
Countries citing papers authored by Li Da Xu
This map shows the geographic impact of Li Da Xu'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 Li Da Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Da Xu more than expected).
Fields of papers citing papers by Li Da Xu
This network shows the impact of papers produced by Li Da Xu. 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 Li Da Xu. The network helps show where Li Da Xu may publish in the future.
Co-authorship network of co-authors of Li Da Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Li Da Xu. A scholar is included among the top collaborators of Li Da Xu 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 Li Da Xu. Li Da Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 40 | |
| 5 | 56 | |
| 6 | 88 | |
| 7 | 10 | |
| 8 | Ubiquitous Data Accessing Method in IoT-Based Information System for Emergency Medical Servicesbreakdown → | 426 |
| 9 | 194 | |
| 10 | 238 | |
| 11 | An IoT-Oriented Data Storage Framework in Cloud Computing Platformbreakdown → | 265 |
| 12 | 25 |
About Li Da Xu
Li Da Xu is a scholar working on Computer Networks and Communications, Information Systems and Industrial and Manufacturing Engineering, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Cloud Computing and Resource Management (4 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Computer Networks and Communications (799 citations), Information Systems (470 citations) and Industrial and Manufacturing Engineering (194 citations). Li Da Xu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Boyi Xu, Fenglin Bu, Zhuming Bi, Cheng Xie, Jingyuan Hu, Hongmin Cai, Chengen Wang, Zhibo Pang, Hairong Yan and Chuan Zhang. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Future Generation Computer Systems and Internet Research.
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.