Ju Wang

Electrical and Electronic Engineering · with Chen · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ju Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Andrea J. Goldsmith
  2. Fadel M. Adib
  3. Dina Katabi
  4. Jue Wang
  5. Daniel Halperin
  6. Krishna Chintalapudi
  7. Kaishun Wu
  8. Wen Wang
  9. Yan Wang
  10. Wenjun Hu

Who trusts Ju Wang overall

  1. Kun Qian
  2. Yongsen Ma
  3. Yi Zhang
  4. Chenshu Wu
  5. Gang Zhou
  6. Yue Zheng
  7. Yaxiong Xie

Papers from Ju Wang's perspective

Ordered by how strongly the researchers Ju Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Indoor localization without the pain (ACM/IEEE International Conference on Mobile Computing and Networking)
  2. See through walls with WiFi! (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  3. Understanding and Modeling of WiFi Signal Based Human Activity Recognition (ACM/IEEE International Conference on Mobile Computing and Networking)
  4. Challenges: device-free passive localization for wireless environments (ACM/IEEE International Conference on Mobile Computing and Networking)
  5. Predictable 802.11 packet delivery from wireless channel measurements (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  6. Dude, where's my card?: RFID positioning that works with multipath and non-line of sight (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  7. SpotFi: Decimeter Level Localization Using WiFi (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  8. Wireless Communications
  9. FILA: Fine-grained indoor localization (2012 Proceedings IEEE INFOCOM)
  10. E-eyes: device-free location-oriented activity identification using fine-grained WiFi signatures (ACM/IEEE International Conference on Mobile Computing and Networking)

Their papers