Junna Zhang

543 citations
44 papers · 357 · h-index 11

Impact in

Papers in

Junna Zhang

33 papers receiving 347 citations

Peers

Junna Zhang
Comparison fields: 5 of 71
  • Paleontology 63
  • Geography, Planning and Development 35
  • Computer Networks and Communications 145
  • Anthropology 37
  • Atmospheric Science 57
Replace Grégory Smits with:
Grégory Smits France
W. Stitt Robinson United States
Pengfei Wu China
Wojtek Kowalczyk Netherlands
Tanya Richardson Canada
Ceri Binding United Kingdom
John Waldron Ireland
Weiyun Huang Taiwan
Junna Zhang relative to Grégory Smits France Grégory Smits's profile →
Citations per field
00.5×10×12.6×
Grégory Smits · 1×
Citations per year

Countries citing papers authored by Junna Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Junna Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junna Zhang, 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 Junna Zhang Line = papers co-authored together Junna Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202169
2 202336
3 201828
4 202321
5 202221
6 201519
7 202114
8 202013
9 201813
10 202012
11 201912
12 202010
13 20149
14 20189
15 20227
16 20227
17 20236
18 20226
19 20235
20 20225

About Junna Zhang

Junna Zhang is a scholar working on Computer Networks and Communications, Artificial Intelligence, Paleontology, Computer Vision and Pattern Recognition and Information Systems, having authored 44 papers that have together received 357 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (13 papers), Archaeology and ancient environmental studies (7 papers), Age of Information Optimization (5 papers), Geology and Paleoclimatology Research (5 papers), Pleistocene-Era Hominins and Archaeology (4 papers), Cloud Computing and Resource Management (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Paleontology (63 citations), Geography, Planning and Development (35 citations), Computer Networks and Communications (145 citations), Anthropology (37 citations) and Atmospheric Science (57 citations). Junna Zhang has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Xinglin Zhang, Xiaoyan Zhao, Peiyan Yuan, Xiaochuan Li, Shangguang Wang, Xiaohu Zhang, Young-Α Son, Yifu Cui, Wei He and Xinyu Xia. Their work appears in journals such as IEEE Internet of Things Journal, International Journal of Machine Learning and Cybernetics, Frontiers in Earth Science, Wireless Networks and ACM Transactions on Sensor Networks.

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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