Jian Wan

1.7k citations
69 papers · 1.3k indexed · 1 hit paper · h-index 14

Jian Wan

65 papers receiving 1.2k citations

Hit Papers

Multimodal Deep Autoencoder for Human Pose Recovery5022015202620182022100200300400500

Peers

Jian Wan
Comparison fields: 5 of 127
  • Computer Vision and Pattern Recognition 496
  • Computer Networks and Communications 460
  • Artificial Intelligence 341
  • Information Systems 203
  • Media Technology 63
Replace Deepak Garg with:
Deepak Garg India
Jian Yin China
Zhigao Zheng China
Abdullah Al‐Dhelaan Saudi Arabia
Aisha Hassan Abdalla Hashim Malaysia
Alexander Aved United States
Xiaoxian Yang China
Fangxin Wang China
Nabendu Chaki India
Arpit Jain India
Jian Wan relative to Deepak Garg India Deepak Garg's profile →
Citations per field
00.5×4.2×
Deepak Garg · 1×
Citations per year

Countries citing papers authored by Jian Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jian Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20239
3 20235
4 20230
5 20233
6 20227
7 202210
8 202110
9 201841
10
Research of Block-level Network Disk Cache Technology in Cloud Computing System
20161
11 201513
12 20141
13
Iterative algorithm on single-channel blind separation and decoding of co-frequency modulated signals
20115
14
MDFD:Distributed Fault Detection for Multi-Sensor Networks
20102
15 201010
16 20103
17 20102
18 200818
19
IMPLEMENTATION OF AN INTELLIGENT PINYIN-HANZI CONVERSION SYSTEM
20020
20
Multidimensional Wavelet Networks Based on a Tensor Product Structure
20021

About Jian Wan

Jian Wan is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (13 papers), Advanced Data Storage Technologies (12 papers), Cloud Computing and Resource Management (12 papers), Parallel Computing and Optimization Techniques (12 papers), Distributed and Parallel Computing Systems (11 papers), Security in Wireless Sensor Networks (8 papers), IoT and Edge/Fog Computing (5 papers) and Caching and Content Delivery (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (496 citations), Computer Networks and Communications (460 citations) and Artificial Intelligence (341 citations). Jian Wan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jun Yu, Dacheng Tao, Meng Wang, Chaoqun Hong, Congfeng Jiang, Xin Zhou, Honghao Gao, Xianghua Xu, Jilin Zhang and Jilin Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing 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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