Heng Qi

3.6k citations
155 papers · 2.4k · 1 hit paper · h-index 25

Impact in

Papers in

Heng Qi

147 papers receiving 2.3k citations

Hit Papers

Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions 2022 · 291 citations
2910+1+2Years since publication50100150200250

Peers

Heng Qi
Comparison fields: 5 of 106
  • Transportation 337
  • Computer Networks and Communications 1.0k
  • Building and Construction 481
  • Media Technology 241
  • Information Systems 483
Replace Degan Zhang with:
Degan Zhang China
Bomin Mao Japan
Dingde Jiang China
Djamel Djenouri Algeria
Muhammad Zakarya Pakistan
Degan Zhang China
Wei‐Shinn Ku United States
Asma Belhadi Norway
Christian Bonnet France
Minho Jo South Korea
Heng Qi relative to Degan Zhang China Degan Zhang's profile →
Citations per field
00.5×3.4×
Degan Zhang · 1×
Citations per year

Countries citing papers authored by Heng Qi

Since Specialization
Citations

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

Fields of papers citing papers by Heng Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions
Hit paper breakdown →
2022291
2 2017175
3 2020141
4 201597
5 201476
6 202073
7 202266
8 201762
9 201061
10 202445
11 201644
12 201543
13 202240
14 201640
15 201639
16 201836
17 201632
18 201832
19 201531
20 202330

About Heng Qi

Heng Qi is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 155 papers that have together received 2.4k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (42 papers), Cloud Computing and Resource Management (33 papers), Advanced Image and Video Retrieval Techniques (23 papers), RFID technology advancements (19 papers), Image Retrieval and Classification Techniques (17 papers), IoT and Edge/Fog Computing (15 papers), Network Security and Intrusion Detection (15 papers) and Caching and Content Delivery (14 papers). The work is most often cited by research in Transportation (337 citations), Computer Networks and Communications (1.0k citations), Building and Construction (481 citations), Media Technology (241 citations) and Information Systems (483 citations). Heng Qi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Keqiu Li, Yanming Shen, Baocai Yin, Wenyu Qu, Zhiyang Li, Peng Xiao, Xin Xie, Xueyan Yin, Xiaoyi Tao and Xiulong Liu. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Transactions on Cloud Computing, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

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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