Bitao Pan

425 citations
56 papers · 287 · h-index 9

Impact in

Papers in

Bitao Pan

49 papers receiving 276 citations

Peers

Bitao Pan
Comparison fields: 5 of 21
  • Computer Networks and Communications 142
  • Electrical and Electronic Engineering 248
  • Information Systems 58
  • Hardware and Architecture 6
  • Artificial Intelligence 16
Replace G. Zervas with:
G. Zervas United Kingdom
Marco Quagliotti Italy
Po-Lung Tien Taiwan
Mayur Channegowda United Kingdom
Erik Van Breusegem Belgium
Neeraj Sharma India
Miquel Garrich Brazil
Nick Parsons United Kingdom
Ajmal Muhammad Sweden
Shoujiang Ma China
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Citations per field
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Citations per year

Countries citing papers authored by Bitao Pan

Since Specialization
Citations

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

Fields of papers citing papers by Bitao Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202046
2 202125
3 201916
4 202015
5 201813
6 202112
7 202110
8 201910
9 20189
10 20208
11 20228
12 20217
13 20217
14 20207
15 20206
16 20216
17 20196
18 20205
19 20185
20 20215

About Bitao Pan

Bitao Pan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems, Artificial Intelligence and Computational Theory and Mathematics, having authored 56 papers that have together received 287 indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (35 papers), Optical Network Technologies (27 papers), Software-Defined Networks and 5G (21 papers), Advanced Photonic Communication Systems (20 papers), Cloud Computing and Resource Management (14 papers), Photonic and Optical Devices (11 papers), Interconnection Networks and Systems (7 papers) and Advanced Memory and Neural Computing (6 papers). The work is most often cited by research in Computer Networks and Communications (142 citations), Electrical and Electronic Engineering (248 citations), Information Systems (58 citations), Hardware and Architecture (6 citations) and Artificial Intelligence (16 citations). Bitao Pan has collaborated with scholars based in Netherlands, China and United States. Frequent co-authors include Nicola Calabretta, Xuwei Xue, Fulong Yan, Xiaotao Guo, Shaojuan Zhang, Georgios Exarchakos, Fu Wang, Netsanet Tessema, Sai Chen and Chongjin Xie. Their work appears in journals such as Journal of Lightwave Technology, Journal of Optical Communications and Networking, Computer Networks, IEEE Transactions on Network Science and Engineering and Optics Express.

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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