Jun Han

4.5k citations
201 papers · 2.5k indexed · h-index 27

Jun Han

189 papers receiving 2.3k citations

Peers

Jun Han
Comparison fields: 5 of 114
  • Information Systems 1.6k
  • Software 226
  • Computer Networks and Communications 903
  • Artificial Intelligence 1.2k
  • Management Information Systems 315
Replace Maurizio Morisio with:
Maurizio Morisio Italy
Fábio Kon Brazil
Haralambos Mouratidis United Kingdom
Ian Gorton United States
Marten van Sinderen Netherlands
Pooyan Jamshidi United States
Shinichi Honiden Japan
Marco Pistore Italy
Florian Rosenberg Austria
Maria E. Orłowska Australia
Jun Han relative to Maurizio Morisio Italy Maurizio Morisio's profile →
Citations per field
00.5×1.5×2.2×
Maurizio Morisio · 1×
Citations per year

Countries citing papers authored by Jun Han

Since Specialization
Citations

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

Fields of papers citing papers by Jun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jun Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Han Line = papers co-authored together Jun Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20241
4 20240
5 20240
6 20240
7 20240
8 20231
9 20211
10 20176
11 201415
12 201268
13
A unified CBR approach for web services discovery, composition and recommendation
20092
14
On the Reform of the University Library Information Retrieval Education
20090
15 200723
16 200628
17
An organisational approach to building adaptive service-oriented systems
20050
18
On the autonomy of software entities and modes of organisation
20053
19
An Approach to Software Component Specification
199916
20
Semantic and Usage Packaging for Software Components
19995

About Jun Han

Jun Han is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems, having authored 201 papers that have together received 2.5k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (88 papers), Advanced Software Engineering Methodologies (86 papers), Software System Performance and Reliability (38 papers), Business Process Modeling and Analysis (30 papers), Software Engineering Research (27 papers), Context-Aware Activity Recognition Systems (21 papers), Access Control and Trust (18 papers) and Personal Information Management and User Behavior (13 papers). The work is most often cited by research in Information Systems (1.6k citations), Software (226 citations) and Computer Networks and Communications (903 citations). Jun Han has collaborated with scholars based in Australia, China and New Zealand. Frequent co-authors include Alan Colman, Antony Tang, Yan Jin, Muhammad Ashad Kabir, Tharindu Patikirikorala, Liuping Wang, Iqbal H. Sarker, Ian Gorton, Khaled M. Khan and Mohammad Jabed Morshed Chowdhury. Their work appears in journals such as The Computer Journal, Journal of Systems and Software, IEEE Transactions on Services Computing, Future Generation Computer Systems and IEEE Access.

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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