Jinjun Tang

IEEE transactions on intelligent transportation systems (Print) · 2017–2018

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

Whom Jinjun Tang trusts overall

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

  1. Xiaolei Ma
  2. Nikola K. Kasabov
  3. Chun-Hsin Wu
  4. Weizhong Zheng
  5. Eleni I. Vlahogianni
  6. Haiyang Yu
  7. Matthew G. Karlaftis
  8. Yinhai Wang
  9. Jan-Ming Ho
  10. Der-Horng Lee

Who trusts Jinjun Tang overall

  1. Haitao Yuan
  2. Guoliang Li

Papers from Jinjun Tang's perspective

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

  1. Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory
  2. Travel-time prediction with support vector regression (IEEE transactions on intelligent transportation systems (Print))
  3. Urban traffic flow prediction using a fuzzy-neural approach
  4. Short-term freeway traffic flow prediction : Bayesian combined neural network approach
  5. Statistical methods versus neural networks in transportation research: Differences, similarities and some insights
  6. DYNAMIC TRAVEL TIME PREDICTION WITH REAL-TIME AND HISTORICAL DATA
  7. Short-term traffic forecasting: Where we are and where we’re going
  8. Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
  9. DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction (IEEE transactions on fuzzy systems)
  10. Short‐term traffic forecasting: Overview of objectives and methods

Their papers