Fenglong Xie

671 citations
20 papers · 433 indexed · 1 hit paper · h-index 7

Fenglong Xie

19 papers receiving 367 citations

Hit Papers

TTS synthesis with bidirectional LSTM based recurrent neu...286201420262018202250100150200250

Peers

Fenglong Xie
Comparison fields: 5 of 62
  • Signal Processing 277
  • Artificial Intelligence 368
  • Experimental and Cognitive Psychology 31
  • Computer Vision and Pattern Recognition 48
  • Human-Computer Interaction 8
Replace Yuchen Fan with:
Yuchen Fan China
Matt Shannon United Kingdom
Bartosz Ziółko Poland
Zhaojie Luo Japan
Lars Maaløe Denmark
Suwon Shon United States
C. Chandra Sekhar India
S. Jothilakshmi India
Ariya Rastrow United States
Sri Harish Mallidi United States
Fenglong Xie relative to Yuchen Fan China Yuchen Fan's profile →
Citations per field
00.5×1.5×
Yuchen Fan · 1×
Citations per year

Countries citing papers authored by Fenglong Xie

Since Specialization
Citations

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

Fields of papers citing papers by Fenglong Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Fenglong Xie, 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 Fenglong Xie Line = papers co-authored together Fenglong Xie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 20242
5 20243
6 20231
7 20238
8 20226
9 20212
10 20211
11 20212
12 20201
13 202012
14 20187
15 201614
16 201648
17
TTS synthesis with bidirectional LSTM based recurrent neural networksbreakdown →
2014286
18 201431
19 20146
20 20120

About Fenglong Xie

Fenglong Xie is a scholar working on Signal Processing, Artificial Intelligence and Analytical Chemistry, having authored 20 papers that have together received 433 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (9 papers), Natural Language Processing Techniques (8 papers), Speech and dialogue systems (7 papers), Music and Audio Processing (6 papers), Advanced Image and Video Retrieval Techniques (1 paper), Image Retrieval and Classification Techniques (1 paper) and Energy Load and Power Forecasting (1 paper). The work is most often cited by research in Signal Processing (277 citations), Artificial Intelligence (368 citations) and Experimental and Cognitive Psychology (31 citations). Fenglong Xie has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Frank K. Soong, Yao Qian, Yuchen Fan, Haifeng Li, Haifeng Li, Haifeng Li, Xixin Wu, Li Lü, Yibin Zheng and Helen Meng. Their work appears in journals such as Speech Communication, Applied Acoustics and IEEE/ACM Transactions on Audio Speech and Language Processing.

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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